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chore(model gallery): add open-r1_openr1-qwen-7b (#4867)

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto 2025-02-19 10:04:01 +01:00 committed by GitHub
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commit 4de0f2f737
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gallery/index.yaml
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@ -3930,6 +3930,20 @@
- filename: nbeerbower_Dumpling-Qwen2.5-72B-Q4_K_M.gguf
sha256: 384de5ba5e60255846cd38e2bfad0374b059fb627ba8abb02273186f28684385
uri: huggingface://bartowski/nbeerbower_Dumpling-Qwen2.5-72B-GGUF/nbeerbower_Dumpling-Qwen2.5-72B-Q4_K_M.gguf
- !!merge <<: *qwen25
name: "open-r1_openr1-qwen-7b"
urls:
- https://huggingface.co/open-r1/OpenR1-Qwen-7B
- https://huggingface.co/bartowski/open-r1_OpenR1-Qwen-7B-GGUF
description: |
This is a finetune of Qwen2.5-Math-Instruct on OpenR1-220k-Math (default split). We train the model on the default split of OpenR1-220k-Math for 3 epochs. We use learning rate of 5e-5 and extend the context length from 4k to 32k, by increasing RoPE frequency to 300k. The training follows a linear learning rate schedule with a 10% warmup phase.
overrides:
parameters:
model: open-r1_OpenR1-Qwen-7B-Q4_K_M.gguf
files:
- filename: open-r1_OpenR1-Qwen-7B-Q4_K_M.gguf
sha256: d3bf99666cd19b637948ec9943044b591d3b906d0ee4f3ef1b3eb693ac8f66a6
uri: huggingface://bartowski/open-r1_OpenR1-Qwen-7B-GGUF/open-r1_OpenR1-Qwen-7B-Q4_K_M.gguf
- &llama31
url: "github:mudler/LocalAI/gallery/llama3.1-instruct.yaml@master" ## LLama3.1
icon: https://avatars.githubusercontent.com/u/153379578