Add Github repository link and ensure Transformers library is recognized
Browse filesThis PR adds the link to the Github repository and ensures the proper library is recognized for your model.
README.md
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---
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library_name: transformers
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pipeline_tag: text-generation
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license: cc-by-nc-4.0
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---
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This repository contains the Guru-7B (base Qwen2.5-7B) model presented in [Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective](https://huggingface.co/papers/2506.14965).
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| | LiveBench | 18.57 | 19.76 | 12.64 | 15.20 | 34.30 | 28.78 | 28.33 |
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| | **Average Score** | **43.29** | **33.76** | **35.42** | **33.97** | **54.24** | **47.53** | **46.25** |
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Example usage:
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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```
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Please refer to the [paper](https://arxiv.org/abs/2506.14965) for more details.
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---
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library_name: transformers
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license: cc-by-nc-4.0
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pipeline_tag: text-generation
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---
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This repository contains the Guru-7B (base Qwen2.5-7B) model presented in [Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective](https://huggingface.co/papers/2506.14965).
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| | LiveBench | 18.57 | 19.76 | 12.64 | 15.20 | 34.30 | 28.78 | 28.33 |
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| | **Average Score** | **43.29** | **33.76** | **35.42** | **33.97** | **54.24** | **47.53** | **46.25** |
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Example usage:
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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```
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Please refer to the [paper](https://arxiv.org/abs/2506.14965) for more details.
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Github repository: https://github.com/LLM360/Reasoning360
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