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chore(model gallery): add nvidia_nemotron-research-reasoning-qwen-1.5b (#5578)

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto 2025-06-04 11:07:10 +02:00 • committed by GitHub
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commit 669a1ccae6
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gallery/index.yaml
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@ -10657,6 +10657,22 @@
- filename: PKU-DS-LAB_FairyR1-32B-Q4_K_M.gguf - filename: PKU-DS-LAB_FairyR1-32B-Q4_K_M.gguf
sha256: bbfe6602b9d4f22da36090a4c77da0138c44daa4ffb01150d0370f6965503e65 sha256: bbfe6602b9d4f22da36090a4c77da0138c44daa4ffb01150d0370f6965503e65
uri: huggingface://bartowski/PKU-DS-LAB_FairyR1-32B-GGUF/PKU-DS-LAB_FairyR1-32B-Q4_K_M.gguf uri: huggingface://bartowski/PKU-DS-LAB_FairyR1-32B-GGUF/PKU-DS-LAB_FairyR1-32B-Q4_K_M.gguf
- !!merge <<: *deepseek-r1
name: "nvidia_nemotron-research-reasoning-qwen-1.5b"
urls:
- https://huggingface.co/nvidia/Nemotron-Research-Reasoning-Qwen-1.5B
- https://huggingface.co/bartowski/nvidia_Nemotron-Research-Reasoning-Qwen-1.5B-GGUF
description: |
Nemotron-Research-Reasoning-Qwen-1.5B is the world’s leading 1.5B open-weight model for complex reasoning tasks such as mathematical problems, coding challenges, scientific questions, and logic puzzles. It is trained using the ProRL algorithm on a diverse and comprehensive set of datasets. Our model has achieved impressive results, outperforming Deepseek’s 1.5B model by a large margin on a broad range of tasks, including math, coding, and GPQA.
This model is for research and development only.
overrides:
parameters:
model: nvidia_Nemotron-Research-Reasoning-Qwen-1.5B-Q4_K_M.gguf
files:
- filename: nvidia_Nemotron-Research-Reasoning-Qwen-1.5B-Q4_K_M.gguf
sha256: 3685e223b41b39cef92aaa283d9cc943e27208eab942edfd1967059d6a98aa7a
uri: huggingface://bartowski/nvidia_Nemotron-Research-Reasoning-Qwen-1.5B-GGUF/nvidia_Nemotron-Research-Reasoning-Qwen-1.5B-Q4_K_M.gguf
- &qwen2 - &qwen2
url: "github:mudler/LocalAI/gallery/chatml.yaml@master" ## Start QWEN2 url: "github:mudler/LocalAI/gallery/chatml.yaml@master" ## Start QWEN2
name: "qwen2-7b-instruct" name: "qwen2-7b-instruct"