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models(gallery): add phi-3.5 (#3376)
Signed-off-by: Ettore Di Giacinto <[email protected]>
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gallery/index.yaml

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- filename: phillama-3.8b-v0.1.Q4_K_M.gguf
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sha256: da537d352b7aae54bbad0d2cff3e3a1b0e1dc1e1d25bec3aae1d05cf4faee7a2
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uri: huggingface://RichardErkhov/raincandy-u_-_phillama-3.8b-v0.1-gguf/phillama-3.8b-v0.1.Q4_K_M.gguf
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- !!merge <<: *llama3
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- !!merge <<: *phi-3
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name: "calme-2.3-phi3-4b"
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icon: https://huggingface.co/MaziyarPanahi/calme-2.1-phi3-4b/resolve/main/phi-3-instruct.webp
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urls:
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- filename: Phi-3-mini-4k-instruct-v0.3.Q4_K_M.gguf
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sha256: 3a23e1052369c080afb925882bd814cbea5ec859894655a7434c3d49e43a6127
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uri: huggingface://MaziyarPanahi/calme-2.3-phi3-4b-GGUF/Phi-3-mini-4k-instruct-v0.3.Q4_K_M.gguf
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- !!merge <<: *phi-3
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name: "phi-3.5-mini-instruct"
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urls:
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- https://huggingface.co/microsoft/Phi-3.5-mini-instruct
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- https://huggingface.co/MaziyarPanahi/Phi-3.5-mini-instruct-GGUF
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description: |
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Phi-3.5-mini is a lightweight, state-of-the-art open model built upon datasets used for Phi-3 - synthetic data and filtered publicly available websites - with a focus on very high-quality, reasoning dense data. The model belongs to the Phi-3 model family and supports 128K token context length. The model underwent a rigorous enhancement process, incorporating both supervised fine-tuning, proximal policy optimization, and direct preference optimization to ensure precise instruction adherence and robust safety measures.
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overrides:
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parameters:
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model: Phi-3.5-mini-instruct.Q4_K_M.gguf
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files:
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- filename: Phi-3.5-mini-instruct.Q4_K_M.gguf
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sha256: 3f68916e850b107d8641d18bcd5548f0d66beef9e0a9077fe84ef28943eb7e88
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uri: huggingface://MaziyarPanahi/Phi-3.5-mini-instruct-GGUF/Phi-3.5-mini-instruct.Q4_K_M.gguf
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- &hermes-2-pro-mistral
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### START Hermes
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url: "github:mudler/LocalAI/gallery/hermes-2-pro-mistral.yaml@master"

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