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README.md

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+---
+license: apache-2.0
+datasets:
+  - SWE-bench/SWE-smith
+language:
+  - en
+base_model:
+  - Qwen/Qwen2.5-Coder-32B-Instruct
+pipeline_tag: text-generation
+tags:
+  - agent
+  - software engineering
+---
+### exl2 quant (measurement.json in main branch)
+---
+### check revisions for quants
+---
+
+
+<div align="center">
+  <img src="https://swe-agent.com/latest/assets/swe-agent.svg" alt="Logo" width="200">
+  <h1 align="center">SWE-agent LM</h1>
+</div>
+
+<p align="center">
+<a href="https://github.com/SWE-bench/SWE-smith">Code</a>
+•
+<a href="https://arxiv.org/abs/2504.21798">Paper</a>
+•
+<a href="https://swesmith.com/">Site</a>
+</p>
+
+SWE-agent-LM-32B is a Language Model for Software Engineering trained using the [SWE-smith](https://github.com/SWE-bench/SWE-smith) toolkit.
+We introduce this model as part of our work: [SWE-smith: Scaling Data for Software Engineering Agents](https://swesmith.com).
+
+SWE-agent-LM-32B is 100% open source.
+Training this model was simple - we fine-tuned Qwen 2.5 Coder Instruct on 5k trajectories generated by SWE-agent + Claude 3.7 Sonnet.
+The dataset can be found [here](https://huggingface.co/datasets/SWE-bench/SWE-smith-trajs-250429).
+
+SWE-agent-LM-32B is compatible with [SWE-agent](https://github.com/SWE-agent/SWE-agent).
+Running this model locally only takes a few steps!
+Check [here]() for more instructions on how to do so.
+
+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!