From 9b46dcf00641c129df6a30853c5ada163adbf76e Mon Sep 17 00:00:00 2001 From: "LocalAI [bot]" <139863280+localai-bot@users.noreply.github.com> Date: Tue, 26 Nov 2024 09:49:05 +0100 Subject: [PATCH] chore(model-gallery): :arrow_up: update checksum (#4261) :arrow_up: Checksum updates in gallery/index.yaml Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com> --- gallery/index.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/gallery/index.yaml b/gallery/index.yaml index c7e82259..b2008fdd 100644 --- a/gallery/index.yaml +++ b/gallery/index.yaml @@ -678,8 +678,8 @@ model: Llama-Sentient-3.2-3B-Instruct.Q4_K_M.gguf files: - filename: Llama-Sentient-3.2-3B-Instruct.Q4_K_M.gguf - sha256: 0b1c10da004ffd61b860c9058265e9bdb7f53c7be8e87feece8896d680f5b8be uri: huggingface://QuantFactory/Llama-Sentient-3.2-3B-Instruct-GGUF/Llama-Sentient-3.2-3B-Instruct.Q4_K_M.gguf + sha256: 3f855ce0522bfdc39fc826162ba6d89f15cc3740c5207da10e70baa3348b7812 - &qwen25 ## Qwen2.5 name: "qwen2.5-14b-instruct" @@ -3496,7 +3496,7 @@ - https://huggingface.co/AIDC-AI/Marco-o1 - https://huggingface.co/QuantFactory/Marco-o1-GGUF description: | - Marco-o1 not only focuses on disciplines with standard answers, such as mathematics, physics, and coding—which are well-suited for reinforcement learning (RL)—but also places greater emphasis on open-ended resolutions. We aim to address the question: "Can the o1 model effectively generalize to broader domains where clear standards are absent and rewards are challenging to quantify?" + Marco-o1 not only focuses on disciplines with standard answers, such as mathematics, physics, and coding—which are well-suited for reinforcement learning (RL)—but also places greater emphasis on open-ended resolutions. We aim to address the question: "Can the o1 model effectively generalize to broader domains where clear standards are absent and rewards are challenging to quantify?" overrides: parameters: model: Marco-o1.Q4_K_M.gguf