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ArliAI_Qwen3.5-122B-RpRMax-v1-GGUF
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ArliAI_Qwen3.5-27B-RpRMax-v1-GGUF
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ArliAI_QwQ-32B-ArliAI-RpR-v1-GGUF
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ArliAI_QwQ-32B-ArliAI-RpR-v4-GGUF
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Art-v0-3B-GGUF
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Artificium-llama3.1-8B-001-GGUF
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Astral-Fusion-8b-v0.0-GGUF
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**Model details:** - Parameter count: 31B - Input support: text, image and audio (with mmproj file) - details - MTP: no - imatrix: yes - details **Don't know which to choose?** Grab Q4_K_M (19.60GB) - usually a good mix of size and performance. Download instructions available here The files marked `true` in the Split column above are stored as multiple parts in a folder. To download all the parts to a local folder, run:
Ateron_Gemma-4-MoonGem-31B-GGUF
bartowski**Model details:** - Parameter count: 31B - Input support: text, image and audio (with mmproj file) - details - Speculative decoding: no - imatrix: yes - details **Don't know which to choose?** Grab Q4_K_M (19.52GB) - usually a good mix of size and performance. Download instructions available here The files marked `true` in the Split column above are stored as multiple parts in a folder. To download all the parts to a local folder, run:
All quants made using imatrix option with dataset from here - llama.cpp - ramalama - LM Studio - koboldcpp - Jan AI - Text Generation Web UI - LoLLMs - Atomic Chat Note: if it's a newly supported model, you may need to wait for an update from the developers.
ATH-MaaS_OvisOCR2-GGUF
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Athena-codegemma-2-9b-v1-GGUF
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Athene-70B-GGUF
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Athene-V2-Agent-GGUF
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Athene-V2-Chat-GGUF
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Aura-4B-GGUF
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Aurore-Reveil_Koto-Small-7B-IT-GGUF
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Ava-1.0-12B-GGUF
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