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chore(model gallery): 🤖 add new models via gallery agent #6527

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25 changes: 25 additions & 0 deletions gallery/index.yaml
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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: 2756551de7d8ff7093c2c5eec1cd00f1868bc128433af53f5a8d434091d4eb5a
uri: huggingface://Triangle104/Nano_Imp_1B-Q8_0-GGUF/nano_imp_1b-q8_0.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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- filename: Tlacuilo-12B.i1-Q4_K_M.gguf
sha256: 94218112aa02113c8e21cd2c1d10818bea39bc6aee7e67be6014f86e80e76cb1
uri: huggingface://mradermacher/Tlacuilo-12B-i1-GGUF/Tlacuilo-12B.i1-Q4_K_M.gguf
- !!merge <<: *qwen3
name: "qwen-sea-lion-v4-32b-it"
urls:
- https://huggingface.co/mradermacher/Qwen-SEA-LION-v4-32B-IT-GGUF
description: |
**Qwen-SEA-LION-v4-32B-IT** is a large language model specifically designed for Southeast Asia, built on the Qwen3-32B foundation. It has been continuously pre-trained on 100B tokens from the SEA-Pile v2 corpus and fine-tuned on 8 million multilingual question-answer pairs, making it highly effective for tasks in Burmese, Indonesian, Malay, Filipino, Tamil, Thai, Vietnamese, and other regional languages.

Key features:
- **Context length:** 128,000 tokens
- **Languages supported:** 11 (including English, Mandarin, and 10 Southeast Asian languages)
- **Model type:** Decoder (instruction-tuned)
- **Base model:** Qwen3-32B
- **Fine-tuned for:** Multilingual instruction following, reasoning, and cultural relevance in SEA
- **Use case:** Ideal for developers and researchers building AI applications tailored to Southeast Asia

Note: Not safety-aligned — users should implement their own alignment measures.

*Developed by AI Singapore, funded by Singapore NRF.*
overrides:
parameters:
model: Qwen-SEA-LION-v4-32B-IT.Q4_K_M.gguf
files:
- filename: Qwen-SEA-LION-v4-32B-IT.Q4_K_M.gguf
sha256: 7452123132fb001058562e091a5d884b90c89d72c16e329fc14eec90803d62df
uri: huggingface://mradermacher/Qwen-SEA-LION-v4-32B-IT-GGUF/Qwen-SEA-LION-v4-32B-IT.Q4_K_M.gguf
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