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19 changes: 19 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 <<: *llama3
name: "coldbrew-nemo-12b-arcane-base-test1"
urls:
- https://huggingface.co/Theros/ColdBrew-Nemo-12B-Arcane-Base-test1-Q4_K_M-GGUF
description: |
The **ColdBrew-Nemo-12B-Arcane-Base-test1** is a 12-billion-parameter large language model based on the Nemo architecture, fine-tuned with a creative, narrative-driven style inspired by the *Arcane* universe. Originally developed by **SvalTek**, this model excels in storytelling, character dialogue, and immersive world-building, making it ideal for creative writing, roleplay, and imaginative text generation.

It is built upon a Mistral-like architecture, optimized for high-quality, coherent, and stylistically rich responses. The model is available in GGUF format (Q4_K_M quantization), making it efficient for local inference via llama.cpp on consumer hardware, including CPUs and GPUs.

While the repository `Theros/ColdBrew-Nemo-12B-Arcane-Base-test1-Q4_K_M-GGUF` contains a quantized version of the model, the original base model—**SvalTek/ColdBrew-Nemo-12B-Arcane-Base-test1**—is the source of the full, unquantized weights and should be referenced for accurate model details.

**Use case**: Ideal for writers, game developers, and AI enthusiasts seeking a stylized, expressive language model with strong narrative capabilities.
overrides:
parameters:
model: coldbrew-nemo-12b-arcane-base-test1-q4_k_m.gguf
files:
- filename: coldbrew-nemo-12b-arcane-base-test1-q4_k_m.gguf
sha256: 712ef72689e1b0bb29a513bf0a43e4a9301561557850392f53f5f19e25d3681c
uri: huggingface://Theros/ColdBrew-Nemo-12B-Arcane-Base-test1-Q4_K_M-GGUF/coldbrew-nemo-12b-arcane-base-test1-q4_k_m.gguf
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