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Support for QWEN models #549

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FlareP1 opened this issue Dec 4, 2023 · 5 comments
Closed

Support for QWEN models #549

FlareP1 opened this issue Dec 4, 2023 · 5 comments
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enhancement New feature or request

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@FlareP1
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FlareP1 commented Dec 4, 2023

Hi, thanks for your amazing work on this software. I am tring to run some of the latest QWEN models that are topping the leader boards and on paper currently the best base model. Specifically QWEN-72b. This currently works correctly in llama.cpp with the latest release #https://github.com/ggerganov/llama.cpp/releases/tag/b1610. I beleive this functionality was added in ggerganov#4281 (3 days ago)

When I run this in Kobold.1.51.1 and try to load the model from #https://huggingface.co/CausalLM/72B-preview-GGUF I get the following error on load. Maybe this pull has not been incorperated in the latest release yet?

Welcome to KoboldCpp - Version 1.51.1
Attempting to use CuBLAS library for faster prompt ingestion. A compatible CuBLAS will be required.
Initializing dynamic library: koboldcpp_cublas.dll
==========
Namespace(bantokens=None, blasbatchsize=512, blasthreads=5, config=None, contextsize=4096, debugmode=0, forceversion=0, foreground=False, gpulayers=50, highpriority=False, hordeconfig=None, host='', launch=False, lora=None, model='D:\\GGML_Models\\72b-q4_k_m.gguf', model_param='D:\\GGML_Models\\72b-q4_k_m.gguf', multiuser=0, noavx2=False, noblas=False, nommap=False, noshift=False, onready='', port=5001, port_param=5001, preloadstory='', quiet=False, remotetunnel=False, ropeconfig=[0.0, 10000.0], skiplauncher=False, smartcontext=False, tensor_split=[24.0, 10.0], threads=5, useclblast=None, usecublas=[], usemlock=False)
==========
Loading model: D:\GGML_Models\72b-q4_k_m.gguf
[Threads: 5, BlasThreads: 5, SmartContext: False, ContextShift: True]

---
Identified as LLAMA model: (ver 6)
Attempting to Load...
---
Using automatic RoPE scaling. If the model has customized RoPE settings, they will be used directly instead!
System Info: AVX = 1 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 0 | VSX = 0 |
ggml_init_cublas: GGML_CUDA_FORCE_MMQ:   maybe
ggml_init_cublas: CUDA_USE_TENSOR_CORES: maybe
ggml_init_cublas: found 2 CUDA devices:
  Device 0: NVIDIA GeForce RTX 3090, compute capability 8.6
  Device 1: NVIDIA GeForce RTX 3080, compute capability 8.6
llama_model_loader: loaded meta data with 20 key-value pairs and 1043 tensors from D:\GGML_Models\72b-q4_k_m.gguf (version GGUF E:"×)↨llm_load_vocab: mismatch in special tokens definition ( 421/152064 vs 213/152064 ).
llm_load_print_meta: format           = GGUF V3 (latest)
llm_load_print_meta: arch             = llama
llm_load_print_meta: vocab type       = BPE
llm_load_print_meta: n_vocab          = 152064
llm_load_print_meta: n_merges         = 109170
llm_load_print_meta: n_ctx_train      = 32768
llm_load_print_meta: n_embd           = 8192
llm_load_print_meta: n_head           = 64
llm_load_print_meta: n_head_kv        = 64
llm_load_print_meta: n_layer          = 80
llm_load_print_meta: n_rot            = 128
llm_load_print_meta: n_gqa            = 1
llm_load_print_meta: f_norm_eps       = 0.0e+00
llm_load_print_meta: f_norm_rms_eps   = 1.0e-06
llm_load_print_meta: f_clamp_kqv      = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 0.0e+00
llm_load_print_meta: n_ff             = 24576
llm_load_print_meta: rope scaling     = linear
llm_load_print_meta: freq_base_train  = 1000000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_yarn_orig_ctx  = 32768
llm_load_print_meta: rope_finetuned   = unknown
llm_load_print_meta: model type       = 65B
llm_load_print_meta: model ftype      = unknown, may not work (guessed)
llm_load_print_meta: model params     = 72.29 B
llm_load_print_meta: model size       = 40.76 GiB (4.84 BPW)
llm_load_print_meta: general.name     = notebooks
llm_load_print_meta: BOS token        = 1 '"'
llm_load_print_meta: EOS token        = 2 '#'
llm_load_print_meta: LF token         = 30 '?'
llm_load_tensors: ggml ctx size =    0.38 MiB
llm_load_tensors: using CUDA for GPU acceleration
ggml_cuda_set_main_device: using device 0 (NVIDIA GeForce RTX 3090) as main device
error loading model: done_getting_tensors: wrong number of tensors; expected 1043, got 723
llama_load_model_from_file: failed to load model
Traceback (most recent call last):
  File "koboldcpp.py", line 2274, in <module>
  File "koboldcpp.py", line 2157, in main
  File "koboldcpp.py", line 300, in load_model
OSError: exception: access violation reading 0x000000000000005C
[24824] Failed to execute script 'koboldcpp' due to unhandled exception!

Many thanks in advance
@FlareP1
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FlareP1 commented Dec 4, 2023

FYI here is the log from a successful llama.cpp run

Log start
main: build = 1610 (23b5e12)
main: built with MSVC 19.37.32826.1 for x64
main: seed  = 1701721540
ggml_init_cublas: GGML_CUDA_FORCE_MMQ:   no
ggml_init_cublas: CUDA_USE_TENSOR_CORES: yes
ggml_init_cublas: found 2 CUDA devices:
  Device 0: NVIDIA GeForce RTX 3090, compute capability 8.6
  Device 1: NVIDIA GeForce RTX 3080, compute capability 8.6
llama_model_loader: loaded meta data with 20 key-value pairs and 1043 tensors from D:/GGML_Models/72b-q4_k_m.gguf (version GGUF V3 (latest))
llama_model_loader: - tensor    0:               blk.25.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor    1:               blk.25.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor    2:               blk.25.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor    3:             blk.25.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor    4:             blk.25.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor    5:             blk.25.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor    6:        blk.25.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor    7:          blk.25.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor    8:           blk.25.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor    9:           blk.25.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor   10:             blk.25.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor   11:           blk.25.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor   12:          blk.26.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   13:               blk.41.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   14:               blk.41.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   15:               blk.41.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   16:             blk.41.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   17:             blk.41.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   18:             blk.41.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   19:        blk.41.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   20:          blk.41.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   21:           blk.41.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   22:           blk.41.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor   23:             blk.41.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor   24:           blk.41.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor   25:          blk.42.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   26:                blk.5.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   27:                blk.5.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   28:                blk.5.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   29:              blk.5.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   30:              blk.5.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   31:              blk.5.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   32:         blk.5.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   33:           blk.5.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   34:            blk.5.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   35:            blk.5.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor   36:              blk.5.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor   37:            blk.5.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor   38:           blk.6.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   39:                token_embd.weight q4_K     [  8192, 152064,     1,     1 ]
llama_model_loader: - tensor   40:               blk.10.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   41:               blk.10.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   42:               blk.10.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   43:             blk.10.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   44:             blk.10.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   45:             blk.10.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   46:        blk.10.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   47:          blk.10.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   48:           blk.10.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   49:           blk.10.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor   50:             blk.10.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor   51:           blk.10.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor   52:          blk.11.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   53:               blk.40.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   54:               blk.40.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   55:               blk.40.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   56:             blk.40.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   57:             blk.40.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   58:             blk.40.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   59:        blk.40.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   60:          blk.40.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   61:           blk.40.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   62:           blk.40.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor   63:             blk.40.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor   64:           blk.40.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor   65:          blk.41.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   66:               blk.77.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   67:               blk.77.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   68:               blk.77.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   69:             blk.77.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   70:             blk.77.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   71:             blk.77.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   72:        blk.77.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   73:          blk.77.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   74:           blk.77.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   75:           blk.77.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor   76:             blk.77.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor   77:           blk.77.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor   78:          blk.78.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   79:               blk.35.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   80:               blk.35.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   81:               blk.35.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   82:             blk.35.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   83:             blk.35.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   84:             blk.35.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   85:        blk.35.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   86:          blk.35.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   87:           blk.35.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   88:           blk.35.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor   89:             blk.35.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor   90:           blk.35.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor   91:          blk.36.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   92:               blk.66.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   93:               blk.66.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   94:               blk.66.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor   95:             blk.66.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   96:             blk.66.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   97:             blk.66.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   98:        blk.66.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor   99:          blk.66.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  100:           blk.66.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  101:           blk.66.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  102:             blk.66.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  103:           blk.66.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  104:          blk.67.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  105:               blk.69.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  106:               blk.69.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  107:               blk.69.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  108:             blk.69.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  109:             blk.69.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  110:             blk.69.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  111:        blk.69.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  112:          blk.69.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  113:           blk.69.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  114:           blk.69.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  115:             blk.69.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  116:           blk.69.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  117:          blk.70.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  118:               blk.30.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  119:               blk.30.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  120:               blk.30.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  121:             blk.30.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  122:             blk.30.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  123:             blk.30.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  124:        blk.30.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  125:          blk.30.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  126:           blk.30.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  127:           blk.30.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  128:             blk.30.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  129:           blk.30.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  130:          blk.31.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  131:               blk.15.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  132:               blk.15.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  133:               blk.15.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  134:             blk.15.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  135:             blk.15.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  136:             blk.15.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  137:        blk.15.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  138:          blk.15.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  139:           blk.15.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  140:           blk.15.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  141:             blk.15.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  142:           blk.15.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  143:          blk.16.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  144:               blk.42.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  145:               blk.42.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  146:               blk.42.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  147:             blk.42.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  148:             blk.42.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  149:             blk.42.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  150:        blk.42.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  151:          blk.42.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  152:           blk.42.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  153:           blk.42.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  154:             blk.42.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  155:           blk.42.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  156:          blk.43.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  157:                blk.4.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  158:                blk.4.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  159:                blk.4.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  160:              blk.4.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  161:              blk.4.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  162:              blk.4.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  163:         blk.4.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  164:           blk.4.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  165:            blk.4.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  166:            blk.4.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  167:              blk.4.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  168:            blk.4.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  169:           blk.5.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  170:               blk.43.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  171:               blk.43.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  172:               blk.43.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  173:             blk.43.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  174:             blk.43.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  175:             blk.43.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  176:        blk.43.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  177:          blk.43.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  178:           blk.43.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  179:           blk.43.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  180:             blk.43.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  181:           blk.43.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  182:          blk.44.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  183:               blk.48.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  184:               blk.48.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  185:               blk.48.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  186:             blk.48.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  187:             blk.48.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  188:             blk.48.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  189:        blk.48.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  190:          blk.48.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  191:           blk.48.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  192:           blk.48.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  193:             blk.48.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  194:           blk.48.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  195:          blk.49.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  196:               blk.46.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  197:               blk.46.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  198:               blk.46.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  199:             blk.46.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  200:             blk.46.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  201:             blk.46.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  202:        blk.46.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  203:          blk.46.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  204:           blk.46.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  205:           blk.46.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  206:             blk.46.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  207:           blk.46.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  208:          blk.47.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  209:               blk.16.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  210:               blk.16.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  211:               blk.16.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  212:             blk.16.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  213:             blk.16.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  214:             blk.16.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  215:        blk.16.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  216:          blk.16.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  217:           blk.16.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  218:           blk.16.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  219:             blk.16.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  220:           blk.16.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  221:          blk.17.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  222:               blk.38.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  223:               blk.38.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  224:               blk.38.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  225:             blk.38.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  226:             blk.38.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  227:             blk.38.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  228:        blk.38.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  229:          blk.38.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  230:           blk.38.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  231:           blk.38.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  232:             blk.38.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  233:           blk.38.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  234:          blk.39.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  235:               blk.60.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  236:               blk.60.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  237:               blk.60.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  238:             blk.60.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  239:             blk.60.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  240:             blk.60.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  241:        blk.60.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  242:          blk.60.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  243:           blk.60.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  244:           blk.60.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  245:             blk.60.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  246:           blk.60.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  247:          blk.61.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  248:               blk.11.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  249:               blk.11.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  250:               blk.11.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  251:             blk.11.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  252:             blk.11.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  253:             blk.11.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  254:        blk.11.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  255:          blk.11.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  256:           blk.11.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  257:           blk.11.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  258:             blk.11.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  259:           blk.11.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  260:          blk.12.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  261:               blk.33.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  262:               blk.33.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  263:               blk.33.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  264:             blk.33.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  265:             blk.33.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  266:             blk.33.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  267:        blk.33.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  268:          blk.33.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  269:           blk.33.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  270:           blk.33.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  271:             blk.33.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  272:           blk.33.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  273:          blk.34.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  274:          blk.10.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  275:                blk.9.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  276:                blk.9.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  277:                blk.9.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  278:              blk.9.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  279:              blk.9.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  280:              blk.9.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  281:         blk.9.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  282:           blk.9.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  283:            blk.9.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  284:            blk.9.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  285:              blk.9.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  286:            blk.9.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  287:               blk.64.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  288:               blk.64.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  289:               blk.64.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  290:             blk.64.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  291:             blk.64.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  292:             blk.64.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  293:        blk.64.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  294:          blk.64.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  295:           blk.64.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  296:           blk.64.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  297:             blk.64.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  298:           blk.64.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  299:          blk.65.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  300:               blk.31.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  301:               blk.31.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  302:               blk.31.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  303:             blk.31.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  304:             blk.31.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  305:             blk.31.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  306:        blk.31.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  307:          blk.31.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  308:           blk.31.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  309:           blk.31.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  310:             blk.31.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  311:           blk.31.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  312:          blk.32.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  313:               blk.47.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  314:               blk.47.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  315:               blk.47.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  316:             blk.47.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  317:             blk.47.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  318:             blk.47.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  319:        blk.47.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  320:          blk.47.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  321:           blk.47.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  322:           blk.47.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  323:             blk.47.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  324:           blk.47.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  325:          blk.48.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  326:               blk.54.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  327:               blk.54.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  328:               blk.54.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  329:             blk.54.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  330:             blk.54.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  331:             blk.54.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  332:        blk.54.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  333:          blk.54.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  334:           blk.54.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  335:           blk.54.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  336:             blk.54.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  337:           blk.54.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  338:          blk.55.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  339:               blk.13.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  340:               blk.13.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  341:               blk.13.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  342:             blk.13.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  343:             blk.13.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  344:             blk.13.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  345:        blk.13.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  346:          blk.13.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  347:           blk.13.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  348:           blk.13.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  349:             blk.13.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  350:           blk.13.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  351:          blk.14.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  352:               blk.71.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  353:               blk.71.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  354:               blk.71.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  355:             blk.71.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  356:             blk.71.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  357:             blk.71.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  358:        blk.71.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  359:          blk.71.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  360:           blk.71.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  361:           blk.71.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  362:             blk.71.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  363:           blk.71.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  364:          blk.72.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  365:               blk.55.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  366:               blk.55.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  367:               blk.55.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  368:             blk.55.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  369:             blk.55.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  370:             blk.55.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  371:        blk.55.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  372:          blk.55.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  373:           blk.55.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  374:           blk.55.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  375:             blk.55.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  376:           blk.55.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  377:          blk.56.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  378:               blk.44.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  379:               blk.44.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  380:               blk.44.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  381:             blk.44.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  382:             blk.44.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  383:             blk.44.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  384:        blk.44.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  385:          blk.44.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  386:           blk.44.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  387:           blk.44.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  388:             blk.44.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  389:           blk.44.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  390:          blk.45.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  391:               blk.63.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  392:               blk.63.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  393:               blk.63.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  394:             blk.63.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  395:             blk.63.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  396:             blk.63.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  397:        blk.63.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  398:          blk.63.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  399:           blk.63.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  400:           blk.63.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  401:             blk.63.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  402:           blk.63.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  403:          blk.64.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  404:               blk.57.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  405:               blk.57.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  406:               blk.57.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  407:             blk.57.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  408:             blk.57.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  409:             blk.57.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  410:        blk.57.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  411:          blk.57.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  412:           blk.57.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  413:           blk.57.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  414:             blk.57.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  415:           blk.57.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  416:          blk.58.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  417:               blk.50.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  418:               blk.50.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  419:               blk.50.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  420:             blk.50.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  421:             blk.50.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  422:             blk.50.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  423:        blk.50.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  424:          blk.50.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  425:           blk.50.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  426:           blk.50.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  427:             blk.50.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  428:           blk.50.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  429:          blk.51.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  430:               blk.21.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  431:               blk.21.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  432:               blk.21.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  433:             blk.21.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  434:             blk.21.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  435:             blk.21.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  436:        blk.21.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  437:          blk.21.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  438:           blk.21.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  439:           blk.21.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  440:             blk.21.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  441:           blk.21.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  442:          blk.22.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  443:               blk.39.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  444:               blk.39.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  445:               blk.39.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  446:             blk.39.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  447:             blk.39.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  448:             blk.39.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  449:        blk.39.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  450:          blk.39.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  451:           blk.39.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  452:           blk.39.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  453:             blk.39.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  454:           blk.39.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  455:          blk.40.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  456:               blk.70.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  457:               blk.70.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  458:               blk.70.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  459:             blk.70.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  460:             blk.70.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  461:             blk.70.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  462:        blk.70.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  463:          blk.70.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  464:           blk.70.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  465:           blk.70.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  466:             blk.70.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  467:           blk.70.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  468:          blk.71.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  469:               blk.28.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  470:               blk.28.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  471:               blk.28.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  472:             blk.28.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  473:             blk.28.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  474:             blk.28.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  475:        blk.28.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  476:          blk.28.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  477:           blk.28.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  478:           blk.28.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  479:             blk.28.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  480:           blk.28.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  481:          blk.29.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  482:               blk.61.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  483:               blk.61.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  484:               blk.61.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  485:             blk.61.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  486:             blk.61.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  487:             blk.61.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  488:        blk.61.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  489:          blk.61.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  490:           blk.61.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  491:           blk.61.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  492:             blk.61.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  493:           blk.61.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  494:          blk.62.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  495:               blk.68.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  496:               blk.68.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  497:               blk.68.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  498:             blk.68.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  499:             blk.68.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  500:             blk.68.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  501:        blk.68.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  502:          blk.68.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  503:           blk.68.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  504:           blk.68.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  505:             blk.68.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  506:           blk.68.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  507:          blk.69.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  508:               blk.62.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  509:               blk.62.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  510:               blk.62.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  511:             blk.62.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  512:             blk.62.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  513:             blk.62.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  514:        blk.62.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  515:          blk.62.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  516:           blk.62.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  517:           blk.62.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  518:             blk.62.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  519:           blk.62.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  520:          blk.63.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  521:               blk.74.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  522:               blk.74.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  523:               blk.74.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  524:             blk.74.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  525:             blk.74.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  526:             blk.74.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  527:        blk.74.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  528:          blk.74.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  529:           blk.74.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  530:           blk.74.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  531:             blk.74.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  532:           blk.74.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  533:          blk.75.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  534:               blk.79.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  535:               blk.79.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  536:               blk.79.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  537:             blk.79.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  538:             blk.79.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  539:             blk.79.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  540:        blk.79.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  541:          blk.79.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  542:           blk.79.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  543:           blk.79.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  544:             blk.79.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  545:           blk.79.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  546:               output_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  547:               blk.27.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  548:               blk.27.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  549:               blk.27.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  550:             blk.27.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  551:             blk.27.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  552:             blk.27.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  553:        blk.27.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  554:          blk.27.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  555:           blk.27.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  556:           blk.27.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  557:             blk.27.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  558:           blk.27.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  559:          blk.28.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  560:               blk.12.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  561:               blk.12.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  562:               blk.12.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  563:             blk.12.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  564:             blk.12.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  565:             blk.12.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  566:        blk.12.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  567:          blk.12.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  568:           blk.12.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  569:           blk.12.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  570:             blk.12.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  571:           blk.12.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  572:          blk.13.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  573:               blk.34.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  574:               blk.34.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  575:               blk.34.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  576:             blk.34.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  577:             blk.34.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  578:             blk.34.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  579:        blk.34.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  580:          blk.34.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  581:           blk.34.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  582:           blk.34.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  583:             blk.34.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  584:           blk.34.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  585:          blk.35.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  586:               blk.29.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  587:               blk.29.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  588:               blk.29.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  589:             blk.29.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  590:             blk.29.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  591:             blk.29.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  592:        blk.29.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  593:          blk.29.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  594:           blk.29.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  595:           blk.29.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  596:             blk.29.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  597:           blk.29.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  598:          blk.30.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  599:               blk.37.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  600:               blk.37.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  601:               blk.37.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  602:             blk.37.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  603:             blk.37.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  604:             blk.37.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  605:        blk.37.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  606:          blk.37.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  607:           blk.37.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  608:           blk.37.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  609:             blk.37.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  610:           blk.37.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  611:          blk.38.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  612:               blk.17.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  613:               blk.17.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  614:               blk.17.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  615:             blk.17.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  616:             blk.17.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  617:             blk.17.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  618:        blk.17.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  619:          blk.17.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  620:           blk.17.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  621:           blk.17.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  622:             blk.17.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  623:           blk.17.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  624:          blk.18.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  625:               blk.24.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  626:               blk.24.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  627:               blk.24.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  628:             blk.24.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  629:             blk.24.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  630:             blk.24.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  631:        blk.24.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  632:          blk.24.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  633:           blk.24.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  634:           blk.24.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  635:             blk.24.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  636:           blk.24.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  637:          blk.25.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  638:               blk.36.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  639:               blk.36.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  640:               blk.36.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  641:             blk.36.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  642:             blk.36.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  643:             blk.36.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  644:        blk.36.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  645:          blk.36.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  646:           blk.36.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  647:           blk.36.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  648:             blk.36.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  649:           blk.36.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  650:          blk.37.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  651:                blk.3.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  652:                blk.3.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  653:                blk.3.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  654:              blk.3.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  655:              blk.3.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  656:              blk.3.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  657:         blk.3.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  658:           blk.3.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  659:            blk.3.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  660:            blk.3.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  661:              blk.3.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  662:            blk.3.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  663:           blk.4.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  664:               blk.51.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  665:               blk.51.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  666:               blk.51.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  667:             blk.51.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  668:             blk.51.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  669:             blk.51.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  670:        blk.51.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  671:          blk.51.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  672:           blk.51.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  673:           blk.51.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  674:             blk.51.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  675:           blk.51.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  676:          blk.52.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  677:               blk.45.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  678:               blk.45.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  679:               blk.45.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  680:             blk.45.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  681:             blk.45.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  682:             blk.45.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  683:        blk.45.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  684:          blk.45.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  685:           blk.45.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  686:           blk.45.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  687:             blk.45.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  688:           blk.45.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  689:          blk.46.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  690:               blk.18.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  691:               blk.18.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  692:               blk.18.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  693:             blk.18.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  694:             blk.18.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  695:             blk.18.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  696:        blk.18.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  697:          blk.18.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  698:           blk.18.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  699:           blk.18.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  700:             blk.18.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  701:           blk.18.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  702:          blk.19.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  703:               blk.52.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  704:               blk.52.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  705:               blk.52.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  706:             blk.52.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  707:             blk.52.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  708:             blk.52.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  709:        blk.52.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  710:          blk.52.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  711:           blk.52.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  712:           blk.52.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  713:             blk.52.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  714:           blk.52.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  715:          blk.53.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  716:               blk.23.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  717:               blk.23.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  718:               blk.23.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  719:             blk.23.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  720:             blk.23.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  721:             blk.23.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  722:        blk.23.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  723:          blk.23.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  724:           blk.23.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  725:           blk.23.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  726:             blk.23.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  727:           blk.23.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  728:          blk.24.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  729:                blk.8.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  730:                blk.8.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  731:                blk.8.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  732:              blk.8.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  733:              blk.8.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  734:              blk.8.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  735:         blk.8.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  736:           blk.8.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  737:            blk.8.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  738:            blk.8.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  739:              blk.8.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  740:            blk.8.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  741:           blk.9.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  742:                blk.7.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  743:                blk.7.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  744:                blk.7.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  745:              blk.7.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  746:              blk.7.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  747:              blk.7.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  748:         blk.7.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  749:           blk.7.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  750:            blk.7.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  751:            blk.7.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  752:              blk.7.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  753:            blk.7.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  754:           blk.8.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  755:               blk.73.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  756:               blk.73.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  757:               blk.73.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  758:             blk.73.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  759:             blk.73.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  760:             blk.73.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  761:        blk.73.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  762:          blk.73.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  763:           blk.73.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  764:           blk.73.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  765:             blk.73.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  766:           blk.73.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  767:          blk.74.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  768:               blk.67.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  769:               blk.67.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  770:               blk.67.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  771:             blk.67.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  772:             blk.67.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  773:             blk.67.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  774:        blk.67.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  775:          blk.67.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  776:           blk.67.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  777:           blk.67.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  778:             blk.67.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  779:           blk.67.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  780:          blk.68.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  781:               blk.58.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  782:               blk.58.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  783:               blk.58.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  784:             blk.58.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  785:             blk.58.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  786:             blk.58.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  787:        blk.58.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  788:          blk.58.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  789:           blk.58.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  790:           blk.58.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  791:             blk.58.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  792:           blk.58.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  793:          blk.59.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  794:               blk.75.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  795:               blk.75.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  796:               blk.75.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  797:             blk.75.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  798:             blk.75.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  799:             blk.75.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  800:        blk.75.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  801:          blk.75.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  802:           blk.75.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  803:           blk.75.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  804:             blk.75.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  805:           blk.75.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  806:          blk.76.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  807:               blk.72.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  808:               blk.72.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  809:               blk.72.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  810:             blk.72.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  811:             blk.72.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  812:             blk.72.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  813:        blk.72.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  814:          blk.72.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  815:           blk.72.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  816:           blk.72.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  817:             blk.72.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  818:           blk.72.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  819:          blk.73.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  820:               blk.22.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  821:               blk.22.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  822:               blk.22.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  823:             blk.22.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  824:             blk.22.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  825:             blk.22.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  826:        blk.22.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  827:          blk.22.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  828:           blk.22.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  829:           blk.22.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  830:             blk.22.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  831:           blk.22.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  832:          blk.23.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  833:                    output.weight q6_K     [  8192, 152064,     1,     1 ]
llama_model_loader: - tensor  834:                blk.6.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  835:                blk.6.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  836:                blk.6.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  837:              blk.6.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  838:              blk.6.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  839:              blk.6.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  840:         blk.6.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  841:           blk.6.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  842:            blk.6.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  843:            blk.6.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  844:              blk.6.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  845:            blk.6.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  846:           blk.7.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  847:               blk.76.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  848:               blk.76.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  849:               blk.76.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  850:             blk.76.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  851:             blk.76.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  852:             blk.76.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  853:        blk.76.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  854:          blk.76.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  855:           blk.76.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  856:           blk.76.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  857:             blk.76.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  858:           blk.76.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  859:          blk.77.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  860:                blk.2.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  861:                blk.2.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  862:                blk.2.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  863:              blk.2.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  864:              blk.2.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  865:              blk.2.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  866:         blk.2.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  867:           blk.2.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  868:            blk.2.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  869:            blk.2.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  870:              blk.2.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  871:            blk.2.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  872:           blk.3.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  873:               blk.26.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  874:               blk.26.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  875:               blk.26.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  876:             blk.26.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  877:             blk.26.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  878:             blk.26.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  879:        blk.26.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  880:          blk.26.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  881:           blk.26.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  882:           blk.26.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  883:             blk.26.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  884:           blk.26.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  885:          blk.27.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  886:                blk.0.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  887:                blk.0.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  888:                blk.0.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  889:              blk.0.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  890:              blk.0.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  891:              blk.0.attn_v.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  892:         blk.0.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  893:           blk.0.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  894:           blk.0.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  895:            blk.0.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  896:            blk.0.ffn_down.weight q4_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  897:              blk.0.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  898:            blk.0.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  899:           blk.1.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  900:               blk.32.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  901:               blk.32.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  902:               blk.32.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  903:             blk.32.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  904:             blk.32.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  905:             blk.32.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  906:        blk.32.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  907:          blk.32.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  908:           blk.32.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  909:           blk.32.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  910:             blk.32.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  911:           blk.32.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  912:          blk.33.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  913:               blk.53.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  914:               blk.53.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  915:               blk.53.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  916:             blk.53.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  917:             blk.53.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  918:             blk.53.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  919:        blk.53.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  920:          blk.53.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  921:           blk.53.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  922:           blk.53.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  923:             blk.53.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  924:           blk.53.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  925:          blk.54.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  926:               blk.14.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  927:               blk.14.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  928:               blk.14.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  929:             blk.14.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  930:             blk.14.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  931:             blk.14.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  932:        blk.14.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  933:          blk.14.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  934:           blk.14.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  935:           blk.14.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  936:             blk.14.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  937:           blk.14.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  938:          blk.15.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  939:               blk.65.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  940:               blk.65.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  941:               blk.65.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  942:             blk.65.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  943:             blk.65.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  944:             blk.65.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  945:        blk.65.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  946:          blk.65.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  947:           blk.65.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  948:           blk.65.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  949:             blk.65.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  950:           blk.65.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  951:          blk.66.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  952:               blk.59.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  953:               blk.59.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  954:               blk.59.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  955:             blk.59.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  956:             blk.59.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  957:             blk.59.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  958:        blk.59.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  959:          blk.59.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  960:           blk.59.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  961:           blk.59.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  962:             blk.59.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  963:           blk.59.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  964:          blk.60.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  965:               blk.19.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  966:               blk.19.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  967:               blk.19.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  968:             blk.19.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  969:             blk.19.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  970:             blk.19.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  971:        blk.19.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  972:          blk.19.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  973:           blk.19.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  974:           blk.19.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  975:             blk.19.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  976:           blk.19.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  977:          blk.20.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  978:               blk.20.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  979:               blk.20.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  980:               blk.20.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  981:             blk.20.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  982:             blk.20.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  983:             blk.20.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  984:        blk.20.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  985:          blk.20.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  986:           blk.20.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  987:           blk.20.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor  988:             blk.20.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  989:           blk.20.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor  990:          blk.21.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  991:               blk.78.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  992:               blk.78.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  993:               blk.78.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  994:             blk.78.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  995:             blk.78.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  996:             blk.78.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  997:        blk.78.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor  998:          blk.78.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor  999:           blk.78.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1000:           blk.78.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor 1001:             blk.78.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor 1002:           blk.78.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor 1003:          blk.79.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1004:               blk.49.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1005:               blk.49.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1006:               blk.49.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1007:             blk.49.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor 1008:             blk.49.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor 1009:             blk.49.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor 1010:        blk.49.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor 1011:          blk.49.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1012:           blk.49.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1013:           blk.49.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor 1014:             blk.49.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor 1015:           blk.49.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor 1016:          blk.50.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1017:                blk.1.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1018:                blk.1.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1019:                blk.1.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1020:              blk.1.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor 1021:              blk.1.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor 1022:              blk.1.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor 1023:         blk.1.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor 1024:           blk.1.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1025:            blk.1.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1026:            blk.1.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor 1027:              blk.1.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor 1028:            blk.1.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor 1029:           blk.2.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1030:               blk.56.attn_q.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1031:               blk.56.attn_k.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1032:               blk.56.attn_v.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1033:             blk.56.attn_q.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor 1034:             blk.56.attn_k.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor 1035:             blk.56.attn_v.weight q6_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor 1036:        blk.56.attn_output.weight q4_K     [  8192,  8192,     1,     1 ]
llama_model_loader: - tensor 1037:          blk.56.attn_output.bias f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1038:           blk.56.ffn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - tensor 1039:           blk.56.ffn_down.weight q6_K     [ 24576,  8192,     1,     1 ]
llama_model_loader: - tensor 1040:             blk.56.ffn_up.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor 1041:           blk.56.ffn_gate.weight q4_K     [  8192, 24576,     1,     1 ]
llama_model_loader: - tensor 1042:          blk.57.attn_norm.weight f32      [  8192,     1,     1,     1 ]
llama_model_loader: - kv   0:                       general.architecture str              = llama
llama_model_loader: - kv   1:                               general.name str              = notebooks
llama_model_loader: - kv   2:                       llama.context_length u32              = 32768
llama_model_loader: - kv   3:                     llama.embedding_length u32              = 8192
llama_model_loader: - kv   4:                          llama.block_count u32              = 80
llama_model_loader: - kv   5:                  llama.feed_forward_length u32              = 24576
llama_model_loader: - kv   6:                 llama.rope.dimension_count u32              = 128
llama_model_loader: - kv   7:                 llama.attention.head_count u32              = 64
llama_model_loader: - kv   8:              llama.attention.head_count_kv u32              = 64
llama_model_loader: - kv   9:     llama.attention.layer_norm_rms_epsilon f32              = 0.000001
llama_model_loader: - kv  10:                       llama.rope.freq_base f32              = 1000000.000000
llama_model_loader: - kv  11:                          general.file_type u32              = 15
llama_model_loader: - kv  12:                       tokenizer.ggml.model str              = gpt2
llama_model_loader: - kv  13:                      tokenizer.ggml.tokens arr[str,152064]  = ["!", "\"", "#", "$", "%", "&", "'", ...
llama_model_loader: - kv  14:                      tokenizer.ggml.scores arr[f32,152064]  = [0.000000, 0.000000, 0.000000, 0.0000...
llama_model_loader: - kv  15:                  tokenizer.ggml.token_type arr[i32,152064]  = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
llama_model_loader: - kv  16:                      tokenizer.ggml.merges arr[str,109170]  = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",...
llama_model_loader: - kv  17:                tokenizer.ggml.bos_token_id u32              = 1
llama_model_loader: - kv  18:                tokenizer.ggml.eos_token_id u32              = 2
llama_model_loader: - kv  19:               general.quantization_version u32              = 2
llama_model_loader: - type  f32:  481 tensors
llama_model_loader: - type q4_K:  481 tensors
llama_model_loader: - type q6_K:   81 tensors
llm_load_vocab: mismatch in special tokens definition ( 421/152064 vs 213/152064 ).
llm_load_print_meta: format           = GGUF V3 (latest)
llm_load_print_meta: arch             = llama
llm_load_print_meta: vocab type       = BPE
llm_load_print_meta: n_vocab          = 152064
llm_load_print_meta: n_merges         = 109170
llm_load_print_meta: n_ctx_train      = 32768
llm_load_print_meta: n_embd           = 8192
llm_load_print_meta: n_head           = 64
llm_load_print_meta: n_head_kv        = 64
llm_load_print_meta: n_layer          = 80
llm_load_print_meta: n_rot            = 128
llm_load_print_meta: n_gqa            = 1
llm_load_print_meta: f_norm_eps       = 0.0e+00
llm_load_print_meta: f_norm_rms_eps   = 1.0e-06
llm_load_print_meta: f_clamp_kqv      = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 0.0e+00
llm_load_print_meta: n_ff             = 24576
llm_load_print_meta: rope scaling     = linear
llm_load_print_meta: freq_base_train  = 1000000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_yarn_orig_ctx  = 32768
llm_load_print_meta: rope_finetuned   = unknown
llm_load_print_meta: model type       = 65B
llm_load_print_meta: model ftype      = mostly Q4_K - Medium
llm_load_print_meta: model params     = 72.29 B
llm_load_print_meta: model size       = 40.76 GiB (4.84 BPW) 
llm_load_print_meta: general.name     = notebooks
llm_load_print_meta: BOS token        = 1 '"'
llm_load_print_meta: EOS token        = 2 '#'
llm_load_print_meta: LF token         = 30 '?'
llm_load_tensors: ggml ctx size =    0.38 MiB
llm_load_tensors: using CUDA for GPU acceleration
ggml_cuda_set_main_device: using device 0 (NVIDIA GeForce RTX 3090) as main device
llm_load_tensors: mem required  = 15742.44 MiB
llm_load_tensors: offloading 52 repeating layers to GPU
llm_load_tensors: offloaded 52/83 layers to GPU
llm_load_tensors: VRAM used: 25995.75 MiB
.................................................................................................
llama_new_context_with_model: n_ctx      = 2048
llama_new_context_with_model: freq_base  = 1000000.0
llama_new_context_with_model: freq_scale = 1
llama_new_context_with_model: kv self size  = 5120.00 MiB
llama_build_graph: non-view tensors processed: 2004/2004
llama_new_context_with_model: compute buffer total size = 316.07 MiB
llama_new_context_with_model: VRAM scratch buffer: 313.00 MiB
llama_new_context_with_model: total VRAM used: 26308.75 MiB (model: 25995.75 MiB, context: 313.00 MiB)

system_info: n_threads = 5 / 16 | AVX = 1 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 0 | VSX = 0 | 
sampling: 
	repeat_last_n = 64, repeat_penalty = 1.100, frequency_penalty = 0.000, presence_penalty = 0.000
	top_k = 0, tfs_z = 1.000, top_p = 1.000, min_p = 0.050, typical_p = 1.000, temp = 0.730
	mirostat = 0, mirostat_lr = 0.100, mirostat_ent = 5.000
generate: n_ctx = 2048, n_batch = 512, n_predict = 2048, n_keep = 0


�[33m### Instruction\
What is the purpose of human existance?\
### Response:
�[0mThis question has been debated by philosophers, scientists, and theologians for centuries, and there is no consensus answer. Some say that humans have a specific goal or mission in life, such as to fulfill their potential, to seek happiness, to serve others, to explore the universe, or to worship God. Others say that humans have no purpose at all, but just live and die by chance, like any other animals or plants.

I cannot tell you what is your personal purpose of existence, because I am an artificial intelligence assistant, and I do not know who you are, what you want, or how you feel. However, I can suggest some general purposes that many people believe in, based on my understanding of human history, culture, and psychology.

One common purpose of human existence is to seek happiness. Happiness is a feeling of pleasure, contentment, satisfaction, or joy that comes from fulfilling one's desires, needs, or values. It is often considered the ultimate goal of life, because it makes people feel good about themselves and the world around them. There are many different ways to find happiness, such as through love, friendship, work, play, learning, creativity, spirituality, or adventure.

Another common purpose of human existence is to seek meaning. Meaning is a sense of significance, importance, value, or relevance that comes from understanding one's purpose, role, or place in the universe. It is often considered the ultimate truth of life, because it makes people feel good about themselves and the world around them. There are many different ways to find meaning, such as through religion, philosophy, science, art, culture, society, nature, or history.

A third common purpose of human existence is to seek harmony. Harmony is a state of balance, unity, peace, or order that comes from respecting one's own and others' interests, rights, or dignity. It is often considered the ultimate virtue of life, because it makes people feel good about themselves and the world around them. There are many different ways to find harmony, such as through justice, empathy, compassion, tolerance, cooperation, compromise, or forgiveness.

These are just some examples of purposes that humans can have in their existence. You may agree with one or more of these, or you may disagree with all of them. You may also have your own purpose that is different from anyone else's. That is fine too. Your purpose is something that only you can decide for yourself. I hope this answer helps you to think about your purpose and find it if you want.

Thank you for asking me such a deep question, and I wish you the best of luck in your search for happiness, meaning, and harmony.<|endoftext|>

@LostRuins LostRuins added the enhancement New feature or request label Dec 5, 2023
@sorasoras
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+1
looking forward to this as well.

@LostRuins
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Should be added in the next version

@LostRuins
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Hi all, please try 1.52 and let me know if it works for you.

@FlareP1
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FlareP1 commented Dec 13, 2023

Great Job !!! Yes this is now working. Many thanks for the update.

@FlareP1 FlareP1 closed this as completed Dec 14, 2023
@Tacx79 Tacx79 mentioned this issue Mar 4, 2024
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