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chore(model gallery): add phi-3.5-moe-instruct (#4574)

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto 2025-01-10 16:59:34 +01:00 committed by GitHub
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gallery/index.yaml
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@ -9972,6 +9972,20 @@
model: microsoft/Phi-3.5-vision-instruct model: microsoft/Phi-3.5-vision-instruct
description: | description: |
Phi-3.5-vision is a lightweight, state-of-the-art open multimodal model built upon datasets which include - synthetic data and filtered publicly available websites - with a focus on very high-quality, reasoning dense data both on text and vision. The model belongs to the Phi-3 model family, and the multimodal version comes with 128K context length (in tokens) it can support. The model underwent a rigorous enhancement process, incorporating both supervised fine-tuning and direct preference optimization to ensure precise instruction adherence and robust safety measures. Phi-3.5-vision is a lightweight, state-of-the-art open multimodal model built upon datasets which include - synthetic data and filtered publicly available websites - with a focus on very high-quality, reasoning dense data both on text and vision. The model belongs to the Phi-3 model family, and the multimodal version comes with 128K context length (in tokens) it can support. The model underwent a rigorous enhancement process, incorporating both supervised fine-tuning and direct preference optimization to ensure precise instruction adherence and robust safety measures.
- !!merge <<: *phi-3
name: "phi-3.5-moe-instruct"
urls:
- https://huggingface.co/microsoft/Phi-3.5-MoE-instruct
- https://huggingface.co/bartowski/Phi-3.5-MoE-instruct-GGUF
description: |
Phi-3.5-MoE is a lightweight, state-of-the-art open model built upon datasets used for Phi-3 - synthetic data and filtered publicly available documents - with a focus on very high-quality, reasoning dense data. The model supports multilingual and comes with 128K context length (in tokens). The model underwent a rigorous enhancement process, incorporating supervised fine-tuning, proximal policy optimization, and direct preference optimization to ensure precise instruction adherence and robust safety measures.
overrides:
parameters:
model: Phi-3.5-MoE-instruct-Q4_K_M.gguf
files:
- filename: Phi-3.5-MoE-instruct-Q4_K_M.gguf
sha256: 43e91bb720869bd8a92d8eb86bc3c74a52c49cf61642ca709b3d7bb89644df36
uri: huggingface://bartowski/Phi-3.5-MoE-instruct-GGUF/Phi-3.5-MoE-instruct-Q4_K_M.gguf
- &hermes-2-pro-mistral - &hermes-2-pro-mistral
### START Hermes ### START Hermes
url: "github:mudler/LocalAI/gallery/hermes-2-pro-mistral.yaml@master" url: "github:mudler/LocalAI/gallery/hermes-2-pro-mistral.yaml@master"