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chore(model gallery): 🤖 add 1 new models via gallery agent #6877

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16 changes: 16 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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overrides:
parameters:
model: mradermacher/DeepKAT-32B-i1-GGUF
- !!merge <<: *qwenimage
name: "dasiwawan22i2v14b"
urls:
- https://huggingface.co/Bedovyy/dasiwaWAN22I2V14B-GGUF
description: |
The **dasiwaWAN22I2V14B-GGUF** model is a quantized version of the **Dasiwa WAN 2.2 I2V 14B** model, a large-scale image-to-video (I2V) generation model designed to generate high-quality videos from input images. Originally developed by the community and hosted on Civitai, this model leverages advanced diffusion architectures to produce smooth, coherent, and visually rich video sequences.

The GGUF-quantized variant (by Bedovyy) is optimized for efficient local inference using tools like ComfyUI, enabling faster and more memory-efficient deployment on consumer hardware. The model uses FP8 dequantization and GGUF format conversion for compatibility with lightweight inference backends.

⚠️ **Note**: This is a quantized (compressed) version of the original model, not the base model itself. The original high-fidelity version can be found at: [https://civitai.com/models/1981116/dasiwa-wan-22-i2v-14b-lightspeed](https://civitai.com/models/1981116/dasiwa-wan-22-i2v-14b-lightspeed)

**Use Case**: Image-to-video generation with a focus on stylized, animated, or dynamic video output from static images.
**Ideal For**: Creators, artists, and developers seeking efficient local I2V generation with minimal GPU requirements.
overrides:
parameters:
model: Bedovyy/dasiwaWAN22I2V14B-GGUF
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