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chore(model gallery): add nvidia_openmath-nemotron-1.5b (#5261)

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto 2025-04-28 19:40:09 +02:00 committed by GitHub
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gallery/index.yaml
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@ -6233,6 +6233,22 @@
- filename: nvidia_OpenMath-Nemotron-32B-Q4_K_M.gguf - filename: nvidia_OpenMath-Nemotron-32B-Q4_K_M.gguf
sha256: 91d1f53204ff47e49093ea0e4a6dae656fd79d9cdb23a50627bc6028396f5ab4 sha256: 91d1f53204ff47e49093ea0e4a6dae656fd79d9cdb23a50627bc6028396f5ab4
uri: huggingface://bartowski/nvidia_OpenMath-Nemotron-32B-GGUF/nvidia_OpenMath-Nemotron-32B-Q4_K_M.gguf uri: huggingface://bartowski/nvidia_OpenMath-Nemotron-32B-GGUF/nvidia_OpenMath-Nemotron-32B-Q4_K_M.gguf
- !!merge <<: *qwen25
name: "nvidia_openmath-nemotron-1.5b"
icon: https://cdn-avatars.huggingface.co/v1/production/uploads/1613114437487-60262a8e0703121c822a80b6.png
urls:
- https://huggingface.co/nvidia/OpenMath-Nemotron-1.5B
- https://huggingface.co/bartowski/nvidia_OpenMath-Nemotron-1.5B-GGUF
description: |
OpenMath-Nemotron-1.5B is created by finetuning Qwen/Qwen2.5-Math-1.5B on OpenMathReasoning dataset. This model is ready for commercial use.
OpenMath-Nemotron models achieve state-of-the-art results on popular mathematical benchmarks. We present metrics as pass@1 (maj@64) where pass@1 is an average accuracy across 64 generations and maj@64 is the result of majority voting. Please see our paper for more details on the evaluation setup.
overrides:
parameters:
model: nvidia_OpenMath-Nemotron-1.5B-Q4_K_M.gguf
files:
- filename: nvidia_OpenMath-Nemotron-1.5B-Q4_K_M.gguf
sha256: cdb74247c7918fdb70f9a9aa8217476f2f02e2fff723631255a441eb0db302e2
uri: huggingface://bartowski/nvidia_OpenMath-Nemotron-1.5B-GGUF/nvidia_OpenMath-Nemotron-1.5B-Q4_K_M.gguf
- &llama31 - &llama31
url: "github:mudler/LocalAI/gallery/llama3.1-instruct.yaml@master" ## LLama3.1 url: "github:mudler/LocalAI/gallery/llama3.1-instruct.yaml@master" ## LLama3.1
icon: https://avatars.githubusercontent.com/u/153379578 icon: https://avatars.githubusercontent.com/u/153379578