added n_gqa and n_head_kv fields

LahiRumesh · Aug 17, 2023 · d8e83e3 · d8e83e3
1 parent 15520ea
commit d8e83e3
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Showing 3 changed files with 61 additions and 10 deletions.
diff --git a/binaries/llm-cli/src/cli_args.rs b/binaries/llm-cli/src/cli_args.rs
@@ -519,6 +519,7 @@ impl ModelLoad {
             use_gpu,
             gpu_layers: self.gpu_layers,
             rope_overrides: self.rope_scaling.to_rope_arguments(),
+            n_gqa: None,
         };
 
         let mut sp = Some(spinoff::Spinner::new(

diff --git a/crates/llm-base/src/model/mod.rs b/crates/llm-base/src/model/mod.rs
@@ -209,6 +209,8 @@ pub struct ModelParameters {
     pub gpu_layers: Option<usize>,
     /// The arguments/overrides to pass to the [custom RoPE](https://arxiv.org/pdf/2306.15595.pdf) function, if it is used by the model.
     pub rope_overrides: Option<ggml::RoPEOverrides>,
+    /// Enables gouped-query attention for Llama-2 70B model
+    pub n_gqa: Option<usize>,
 }
 
 impl Default for ModelParameters {
@@ -220,6 +222,7 @@ impl Default for ModelParameters {
             use_gpu: false,
             gpu_layers: None,
             rope_overrides: None,
+            n_gqa: None,
         }
     }
 }

diff --git a/crates/models/llama/src/lib.rs b/crates/models/llama/src/lib.rs
@@ -1,7 +1,7 @@
 //! An implementation of [LLaMA](https://huggingface.co/docs/transformers/model_doc/llama) for the `llm` ecosystem.
 #![deny(missing_docs)]
 
-use std::{error::Error, sync::Arc};
+use std::{cell::Cell, error::Error, sync::Arc};
 
 use llm_base::{
     ggml::{self},
@@ -18,7 +18,7 @@ pub struct Llama {
     params: ModelParameters,
     hyperparameters: Hyperparameters,
     tokenizer: Tokenizer,
-
+    version: LlamaModelVersion,
     // model-global weights
     // weighted token embeddings
     wte: ggml::Tensor,
@@ -41,7 +41,7 @@ impl KnownModel for Llama {
     type Hyperparameters = Hyperparameters;
 
     fn new<E: Error>(
-        hyperparameters: Self::Hyperparameters,
+        mut hyperparameters: Self::Hyperparameters,
         params: ModelParameters,
         tokenizer: Tokenizer,
         tensor_loader: impl TensorLoader<E>,
@@ -94,9 +94,31 @@ impl KnownModel for Llama {
         }
         let context = tl.finish();
 
+        // TODO: read from file
+        let version = match hyperparameters.n_layer {
+            26 => LlamaModelVersion::Model3b,
+            32 => LlamaModelVersion::Model7b,
+            40 => LlamaModelVersion::Model13b,
+            60 => LlamaModelVersion::Model30b,
+            80 => LlamaModelVersion::Model65b,
+            _ => LlamaModelVersion::Model7b, // anything < 32
+        };
+        // TODO: temporary fix for 70B models
+        if let Some(n_gqa) = params.n_gqa {
+            if hyperparameters.n_layer >= 80 {
+                assert_eq!(
+                    hyperparameters.n_head % n_gqa,
+                    0,
+                    "assuming 70B Llama2 model based on GQA == 8"
+                );
+                hyperparameters.n_head_kv = hyperparameters.n_head / n_gqa;
+            }
+        }
+
         Ok(Self {
             hyperparameters,
             params,
+            version,
             tokenizer,
             wte,
             norm,
@@ -133,6 +155,7 @@ impl KnownModel for Llama {
             n_embd,
             n_mult: _,
             n_head,
+            n_head_kv,
             n_layer,
             n_rot,
             file_type: _,
@@ -386,6 +409,8 @@ pub struct Hyperparameters {
     pub n_mult: usize,
     /// n_head
     pub n_head: usize,
+    /// grouped-query attention
+    pub n_head_kv: usize,
     /// Number of layers in the model
     pub n_layer: usize,
     /// n_rot
@@ -396,14 +421,26 @@ pub struct Hyperparameters {
 
 impl llm_base::Hyperparameters for Hyperparameters {
     fn read_ggml(reader: &mut dyn std::io::BufRead) -> Result<Self, LoadError> {
+        let n_head = util::read_i32(reader)?.try_into()?;
+        let n_layer = util::read_i32(reader)?.try_into()?;
+        let n_vocab = util::read_i32(reader)?.try_into()?;
+        let n_embd = util::read_i32(reader)?.try_into()?;
+        let n_mult = util::read_i32(reader)?.try_into()?;
+        let n_rot = util::read_i32(reader)?.try_into()?;
+        let file_type = util::read_filetype(reader)?;
+
+        // n_head_kv == n_heads for  Multi-Head Attention
+        let n_head_kv = n_head;
+
         Ok(Hyperparameters {
-            n_vocab: util::read_i32(reader)?.try_into()?,
-            n_embd: util::read_i32(reader)?.try_into()?,
-            n_mult: util::read_i32(reader)?.try_into()?,
-            n_head: util::read_i32(reader)?.try_into()?,
-            n_layer: util::read_i32(reader)?.try_into()?,
-            n_rot: util::read_i32(reader)?.try_into()?,
-            file_type: util::read_filetype(reader)?,
+            n_head,
+            n_head_kv,
+            n_vocab,
+            n_embd,
+            n_mult,
+            n_layer,
+            n_rot,
+            file_type,
         })
     }
 
@@ -447,3 +484,13 @@ struct Layer {
     w2: ggml::Tensor,
     w3: ggml::Tensor,
 }
+
+/// Available Llama models
+enum LlamaModelVersion {
+    Model3b,
+    Model7b,
+    Model13b,
+    Model30b,
+    Model65b,
+    Model70b,
+}