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README.md CHANGED
@@ -20,7 +20,7 @@ tags:
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  <p align="center">
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  <a href="https://github.com/SWE-bench/SWE-smith">Code</a>
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- <a href="https://arxiv.org/abs/2504.21798">Paper</a>
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  <a href="https://swesmith.com/">Site</a>
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  </p>
@@ -30,10 +30,10 @@ We introduce this model as part of our work: [SWE-smith: Scaling Data for Softwa
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  SWE-agent-LM-32B is 100% open source.
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  Training this model was simple - we fine-tuned Qwen 2.5 Coder Instruct on 5k trajectories generated by SWE-agent + Claude 3.7 Sonnet.
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- The dataset can be found [here](https://huggingface.co/datasets/SWE-bench/SWE-smith-trajectories).
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  SWE-agent-LM-32B is compatible with [SWE-agent](https://github.com/SWE-agent/SWE-agent).
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  Running this model locally only takes a few steps!
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- Check [here](https://swesmith.com/guides/train_swe_agent/) for more instructions on how to do so.
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  If you found this work exciting and want to push SWE-agents further, please feel free to connect with us (the [SWE-bench team](https://swe-bench.github.io/)) more!
 
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  <p align="center">
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  <a href="https://github.com/SWE-bench/SWE-smith">Code</a>
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+ <a href="">Paper</a>
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  <a href="https://swesmith.com/">Site</a>
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  </p>
 
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  SWE-agent-LM-32B is 100% open source.
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  Training this model was simple - we fine-tuned Qwen 2.5 Coder Instruct on 5k trajectories generated by SWE-agent + Claude 3.7 Sonnet.
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+ The dataset can be found [here](https://huggingface.co/datasets/SWE-bench/SWE-smith-trajs-250429).
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  SWE-agent-LM-32B is compatible with [SWE-agent](https://github.com/SWE-agent/SWE-agent).
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  Running this model locally only takes a few steps!
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+ Check [here]() for more instructions on how to do so.
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  If you found this work exciting and want to push SWE-agents further, please feel free to connect with us (the [SWE-bench team](https://swe-bench.github.io/)) more!
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