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authoredFeb 20, 2025
chore(model gallery): add internlm_oreal-7b (mudler#4874)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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‎gallery/index.yaml

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- filename: internlm_OREAL-32B-Q4_K_M.gguf
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sha256: 5af1b3f66e3a1f95931a54500d03368c0cc7ca42cc67370338b29c18362e4a94
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uri: huggingface://bartowski/internlm_OREAL-32B-GGUF/internlm_OREAL-32B-Q4_K_M.gguf
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- !!merge <<: *qwen25
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name: "internlm_oreal-7b"
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urls:
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- https://huggingface.co/internlm/OREAL-7B
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- https://huggingface.co/bartowski/internlm_OREAL-7B-GGUF
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description: |
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We introduce OREAL-7B and OREAL-32B, a mathematical reasoning model series trained using Outcome REwArd-based reinforcement Learning, a novel RL framework designed for tasks where only binary outcome rewards are available.
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With OREAL, a 7B model achieves 94.0 pass@1 accuracy on MATH-500, matching the performance of previous 32B models. OREAL-32B further surpasses previous distillation-trained 32B models, reaching 95.0 pass@1 accuracy on MATH-500.
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overrides:
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parameters:
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model: internlm_OREAL-7B-Q4_K_M.gguf
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files:
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- filename: internlm_OREAL-7B-Q4_K_M.gguf
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sha256: 0f7ba453e91872f06a666fda692fbcec13fdd343f74c7dfa7219df31c038ca1c
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uri: huggingface://bartowski/internlm_OREAL-7B-GGUF/internlm_OREAL-7B-Q4_K_M.gguf
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- &llama31
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url: "github:mudler/LocalAI/gallery/llama3.1-instruct.yaml@master" ## LLama3.1
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icon: https://avatars.githubusercontent.com/u/153379578

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