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May 15, 2025
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17 changes: 17 additions & 0 deletions gallery/index.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -713,7 +713,7 @@
- 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: 6099885b9c4056e24806b616401ff2730a7354335e6f2f0eaf2a45e89c8a457c
uri: https://huggingface.co/bartowski/Qwen_Qwen2.5-VL-72B-Instruct-GGUF/resolve/main/mmproj-Qwen_Qwen2.5-VL-72B-Instruct-f16.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: 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
- !!merge <<: *deepseek-r1
name: "skywork_skywork-or1-32b"
urls:
- https://huggingface.co/Skywork/Skywork-OR1-32B
- https://huggingface.co/bartowski/Skywork_Skywork-OR1-32B-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 and Skywork-OR1-32B.

Skywork-OR1-32B outperforms Deepseek-R1 and Qwen3-32B on math tasks (AIME24 and AIME25) and delivers comparable performance on coding tasks (LiveCodeBench).
Skywork-OR1-7B exhibits competitive performance compared to similarly sized models in both math and coding scenarios.
overrides:
parameters:
model: Skywork_Skywork-OR1-32B-Q4_K_M.gguf
files:
- filename: Skywork_Skywork-OR1-32B-Q4_K_M.gguf
sha256: 5090c27a200ec3ce95e3077f444a9184f41f7473a6ee3dd73582a92445228d26
uri: huggingface://bartowski/Skywork_Skywork-OR1-32B-GGUF/Skywork_Skywork-OR1-32B-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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