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15 changes: 15 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: 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: Zirel-2.i1-Q4_K_S.gguf
sha256: 9856e987f5f59c874a8fe26ffb2a2c5b7c60b85186131048536b3f1d91a235a6
uri: huggingface://mradermacher/Zirel-2-i1-GGUF/Zirel-2.i1-Q4_K_S.gguf
- !!merge <<: *mistral03
name: "kona2-12b-base-i1"
urls:
- https://huggingface.co/mradermacher/kona2-12B-Base-i1-GGUF
description: |
**Kona2-12B-Base** is a large language model developed by Tbilisi AI Lab, based on **Mistral-Nemo-Base-2407**, and trained in both Georgian (ka) and English (en). The model is optimized for multilingual performance, particularly excelling in Georgian language tasks, making it a valuable resource for low-resource language applications. It is released under the **Apache 2.0** license, enabling broad use in research and commercial applications.

This model is available in GGUF format via the repository `mradermacher/kona2-12B-Base-i1-GGUF`, where it has been quantized and enhanced with imatrix optimization for improved efficiency and performance in local inference environments. The original base model (from `tbilisi-ai-lab/kona2-12B-Base`) provides the foundation for these quantized variants, ensuring fidelity to the original training while enabling efficient deployment.
overrides:
parameters:
model: kona2-12B-Base.i1-Q2_K.gguf
files:
- filename: kona2-12B-Base.i1-Q2_K.gguf
sha256: f16a618e5d365a34ab6f134c24aea67543befe503d0ede6b90fdc717e66d5314
uri: huggingface://mradermacher/kona2-12B-Base-i1-GGUF/kona2-12B-Base.i1-Q2_K.gguf
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