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Apr 14, 2025
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20 changes: 20 additions & 0 deletions gallery/index.yaml
Original file line number Diff line number Diff line change
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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: 726a0ef5f818b8d238f2844f3204848bea66fb9c172b8ae0f6dc51b7bc081dd5
uri: huggingface://bartowski/deepcogito_cogito-v1-preview-llama-3B-GGUF/deepcogito_cogito-v1-preview-llama-3B-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: 3fda6cf318a9082ef7b502c4384ee3ea5f9f9f44268b852a2e46d71bcea29d5a
uri: huggingface://mradermacher/Mag-Picaro-72B-GGUF/Mag-Picaro-72B.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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sha256: 25db6d4ae5649e6d2084036d8f05ec1aca459126e2d4734d6c18f1e16147a4d3
uri: huggingface://mradermacher/Llama-3.3-MagicalGirl-2.5-i1-GGUF/Llama-3.3-MagicalGirl-2.5.i1-Q4_K_M.gguf
- &deepseek
url: "github:mudler/LocalAI/gallery/deepseek.yaml@master" ## Deepseek

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name: "deepseek-coder-v2-lite-instruct"
icon: "https://avatars.githubusercontent.com/u/148330874"
license: deepseek
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- filename: Skywork_Skywork-OR1-Math-7B-Q4_K_M.gguf
sha256: 4a28cc95da712d37f1aef701f3eff5591e437beba9f89faf29b2a2e7443dd170
uri: huggingface://bartowski/Skywork_Skywork-OR1-Math-7B-GGUF/Skywork_Skywork-OR1-Math-7B-Q4_K_M.gguf
- !!merge <<: *deepseek-r1
name: "skywork_skywork-or1-32b-preview"
urls:
- https://huggingface.co/Skywork/Skywork-OR1-32B-Preview
- https://huggingface.co/bartowski/Skywork_Skywork-OR1-32B-Preview-GGUF
description: |
The Skywork-OR1 (Open Reasoner 1) model series consists of powerful math and code reasoning models trained using large-scale rule-based reinforcement learning with carefully designed datasets and training recipes. This series includes two general-purpose reasoning modelsl, Skywork-OR1-7B-Preview and Skywork-OR1-32B-Preview, along with a math-specialized model, Skywork-OR1-Math-7B.

Skywork-OR1-Math-7B is specifically optimized for mathematical reasoning, scoring 69.8 on AIME24 and 52.3 on AIME25 — well ahead of all models of similar size.
Skywork-OR1-32B-Preview delivers the 671B-parameter Deepseek-R1 performance on math tasks (AIME24 and AIME25) and coding tasks (LiveCodeBench).
Skywork-OR1-7B-Preview outperforms all similarly sized models in both math and coding scenarios.

The final release version will be available in two weeks.
overrides:
parameters:
model: Skywork_Skywork-OR1-32B-Preview-Q4_K_M.gguf
files:
- filename: Skywork_Skywork-OR1-32B-Preview-Q4_K_M.gguf
sha256: 304d4f6e6ac6c530b7427c30b43df3d19ae6160c68582b8815efb129533c2f0c
uri: huggingface://bartowski/Skywork_Skywork-OR1-32B-Preview-GGUF/Skywork_Skywork-OR1-32B-Preview-Q4_K_M.gguf
- &qwen2
url: "github:mudler/LocalAI/gallery/chatml.yaml@master" ## Start QWEN2

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name: "qwen2-7b-instruct"
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