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chore(model gallery): add control-nanuq-8b (#4506)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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- filename: Llama-3.1-8B-Open-SFT-Q4_K_M.gguf
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- filename: Llama-3.1-8B-Open-SFT-Q4_K_M.gguf
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sha256: ce75152763c48c5386fe59652cc921aae456da36ab82af3d9e2080f603f45132
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sha256: ce75152763c48c5386fe59652cc921aae456da36ab82af3d9e2080f603f45132
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uri: huggingface://bartowski/Llama-3.1-8B-Open-SFT-GGUF/Llama-3.1-8B-Open-SFT-Q4_K_M.gguf
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uri: huggingface://bartowski/Llama-3.1-8B-Open-SFT-GGUF/Llama-3.1-8B-Open-SFT-Q4_K_M.gguf
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- !!merge <<: *llama31
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name: "control-nanuq-8b"
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icon: https://cdn-uploads.huggingface.co/production/uploads/66c26b6fb01b19d8c3c2467b/6L-SXxQZ2nxYwvIjnlzN8.png
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urls:
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- https://huggingface.co/Delta-Vector/Control-Nanuq-8B
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- https://huggingface.co/QuantFactory/Control-Nanuq-8B-GGUF
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description: |
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The model is a fine-tuned version of LLaMA 3.1 8B Supernova, designed to be "short and sweet" by minimizing narration and lengthy responses. It was fine-tuned over 4 epochs using OpenCAI and RP logs, with DPO applied to enhance coherence. Finally, KTO reinforcement learning was implemented on version 1.1, significantly improving the model's prose and creativity.
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overrides:
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parameters:
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model: Control-Nanuq-8B.Q4_K_M.gguf
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files:
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- filename: Control-Nanuq-8B.Q4_K_M.gguf
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sha256: 5aa3b929cbcaf62709fef58d6f630c2df1185d774d0074c7e750cb03c53b744e
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uri: huggingface://QuantFactory/Control-Nanuq-8B-GGUF/Control-Nanuq-8B.Q4_K_M.gguf
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- &deepseek
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- &deepseek
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## Deepseek
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## Deepseek
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url: "github:mudler/LocalAI/gallery/deepseek.yaml@master"
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url: "github:mudler/LocalAI/gallery/deepseek.yaml@master"
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