From bebfd19b45194400e63db64e1100884420b2a9fc Mon Sep 17 00:00:00 2001 From: Ettore Di Giacinto Date: Fri, 10 Jan 2025 16:59:34 +0100 Subject: [PATCH] chore(model gallery): add phi-3.5-moe-instruct (#4574) Signed-off-by: Ettore Di Giacinto --- gallery/index.yaml | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/gallery/index.yaml b/gallery/index.yaml index 22483953..f20be17e 100644 --- a/gallery/index.yaml +++ b/gallery/index.yaml @@ -9972,6 +9972,20 @@ model: microsoft/Phi-3.5-vision-instruct 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. +- !!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 ### START Hermes url: "github:mudler/LocalAI/gallery/hermes-2-pro-mistral.yaml@master"