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27 changes: 27 additions & 0 deletions gallery/index.yaml
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- gemma3
- gemma-3
overrides:
#mmproj: gemma-3-27b-it-mmproj-f16.gguf

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parameters:
model: gemma-3-27b-it-Q4_K_M.gguf
files:
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description: |
google/gemma-3-12b-it is an open-source, state-of-the-art, lightweight, multimodal model built from the same research and technology used to create the Gemini models. It is capable of handling text and image input and generating text output. It has a large context window of 128K tokens and supports over 140 languages. The 12B variant has been fine-tuned using the instruction-tuning approach. Gemma 3 models are suitable for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes them deployable in environments with limited resources such as laptops, desktops, or your own cloud infrastructure.
overrides:
#mmproj: gemma-3-12b-it-mmproj-f16.gguf

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parameters:
model: gemma-3-12b-it-Q4_K_M.gguf
files:
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description: |
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous versions. Gemma 3 models are well-suited for a variety of text generation and image understanding tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as laptops, desktops or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone. Gemma-3-4b-it is a 4 billion parameter model.
overrides:
#mmproj: gemma-3-4b-it-mmproj-f16.gguf

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parameters:
model: gemma-3-4b-it-Q4_K_M.gguf
files:
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sha256: b9f01bead9e163db9351af036d8d63ef479d7d48a1bb44934ead732a180f371c
uri: huggingface://bartowski/Menlo_ReZero-v0.1-llama-3.2-3b-it-grpo-250404-GGUF/Menlo_ReZero-v0.1-llama-3.2-3b-it-grpo-250404-Q4_K_M.gguf
- &qwen25
name: "qwen2.5-14b-instruct" ## Qwen2.5

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icon: https://avatars.githubusercontent.com/u/141221163
url: "github:mudler/LocalAI/gallery/chatml.yaml@master"
license: apache-2.0
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sha256: 0fec82625f74a9a340837de7af287b1d9042e5aeb70cda2621426db99958b0af
uri: huggingface://bartowski/Chuluun-Qwen2.5-72B-v0.08-GGUF/Chuluun-Qwen2.5-72B-v0.08-Q4_K_M.gguf
- &smollm
url: "github:mudler/LocalAI/gallery/chatml.yaml@master" ## SmolLM

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name: "smollm-1.7b-instruct"
icon: https://huggingface.co/datasets/HuggingFaceTB/images/resolve/main/banner_smol.png
tags:
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sha256: a6da6e8d330d76167c04a54eeb550668b59b613ea53af22e3b4a0c6da271e38d
uri: huggingface://bartowski/a-m-team_AM-Thinking-v1-GGUF/a-m-team_AM-Thinking-v1-Q4_K_M.gguf
- &llama31
url: "github:mudler/LocalAI/gallery/llama3.1-instruct.yaml@master" ## LLama3.1

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icon: https://avatars.githubusercontent.com/u/153379578
name: "meta-llama-3.1-8b-instruct"
license: llama3.1
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- filename: Llama-3.3-MagicalGirl-2.5.i1-Q4_K_M.gguf
sha256: 25db6d4ae5649e6d2084036d8f05ec1aca459126e2d4734d6c18f1e16147a4d3
uri: huggingface://mradermacher/Llama-3.3-MagicalGirl-2.5-i1-GGUF/Llama-3.3-MagicalGirl-2.5.i1-Q4_K_M.gguf
- !!merge <<: *llama31
icon: https://cdn-avatars.huggingface.co/v1/production/uploads/1613114437487-60262a8e0703121c822a80b6.png
name: "nvidia_llama-3.1-nemotron-nano-4b-v1.1"
urls:
- https://huggingface.co/nvidia/Llama-3.1-Nemotron-Nano-4B-v1.1
- https://huggingface.co/bartowski/nvidia_Llama-3.1-Nemotron-Nano-4B-v1.1-GGUF
description: |
Llama-3.1-Nemotron-Nano-4B-v1.1 is a large language model (LLM) which is a derivative of nvidia/Llama-3.1-Minitron-4B-Width-Base, which is created from Llama 3.1 8B using our LLM compression technique and offers improvements in model accuracy and efficiency. It is a reasoning model that is post trained for reasoning, human chat preferences, and tasks, such as RAG and tool calling.

Llama-3.1-Nemotron-Nano-4B-v1.1 is a model which offers a great tradeoff between model accuracy and efficiency. The model fits on a single RTX GPU and can be used locally. The model supports a context length of 128K.

This model underwent a multi-phase post-training process to enhance both its reasoning and non-reasoning capabilities. This includes a supervised fine-tuning stage for Math, Code, Reasoning, and Tool Calling as well as multiple reinforcement learning (RL) stages using Reward-aware Preference Optimization (RPO) algorithms for both chat and instruction-following. The final model checkpoint is obtained after merging the final SFT and RPO checkpoints

This model is part of the Llama Nemotron Collection. You can find the other model(s) in this family here:

Llama-3.3-Nemotron-Ultra-253B-v1
Llama-3.3-Nemotron-Super-49B-v1
Llama-3.1-Nemotron-Nano-8B-v1

This model is ready for commercial use.
overrides:
parameters:
model: nvidia_Llama-3.1-Nemotron-Nano-4B-v1.1-Q4_K_M.gguf
files:
- filename: nvidia_Llama-3.1-Nemotron-Nano-4B-v1.1-Q4_K_M.gguf
sha256: 530f0e0ade58d22d4b24d9378cf8a87161d22f33cae8f2f65876f3a1555819e6
uri: huggingface://bartowski/nvidia_Llama-3.1-Nemotron-Nano-4B-v1.1-GGUF/nvidia_Llama-3.1-Nemotron-Nano-4B-v1.1-Q4_K_M.gguf
- &deepseek
url: "github:mudler/LocalAI/gallery/deepseek.yaml@master" ## Deepseek

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name: "deepseek-coder-v2-lite-instruct"
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