初始化项目，由ModelHub XC社区提供模型

Model: open-thoughts/OpenThinkerAgent-32B
Source: Original Platform

README.md

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+---
+base_model:
+- Qwen/Qwen3-32B
+datasets:
+- open-thoughts/OpenThoughts-Agent-SFT-100K
+library_name: transformers
+license: apache-2.0
+model-index:
+- name: OpenThinkerAgent-32B
+  results: []
+pipeline_tag: text-generation
+tags:
+- agents
+- terminal
+- code
+- software-engineering
+---
+<p align="center">
+    <img src="https://huggingface.co/datasets/open-thoughts/OpenThoughts1-Agent-SFT/resolve/main/ota-logo.png" width="50%">
+</p>
+
+<p align="center">
+<a href="https://www.openthoughts.ai/blog/agent" style="margin-right: 24px;">Project</a> |
+<a href="https://github.com/open-thoughts/OpenThoughts-Agent" style="margin-right: 24px; margin-left: 24px;">Code</a> |
+<a href="https://huggingface.co/collections/open-thoughts/openthinker-agent" style="margin-left: 24px;">Collection</a>
+</p>
+
+
+# OpenThinkerAgent-32B
+
+**OpenThoughts-Agent** is an open-source effort to curate the best datasets for training agents. Our release includes [datasets](https://huggingface.co/collections/open-thoughts/openthinker-agent), [models](https://huggingface.co/collections/open-thoughts/openthinker-agent) and our [research codebase](https://github.com/open-thoughts/OpenThoughts-Agent).
+
+[OpenThinkerAgent-32B](https://huggingface.co/open-thoughts/OpenThinkerAgent-32B) is post-trained from [Qwen/Qwen3-32B](https://huggingface.co/Qwen/Qwen3-32B) with full-parameter SFT on the **100,000-example** [OpenThoughts-Agent-SFT-100K](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-SFT-100K) dataset (Top-4 task sources, GLM-4.7-AWQ teacher in the terminus-2 harness, ≥5-turn trace filter). It is the flagship **OpenThinkerAgent-32B**, the strongest open-data 32B model on the average of seven agentic benchmarks.
+
+- **Homepage:** https://www.openthoughts.ai/blog/agent
+- **Repository:** https://github.com/open-thoughts/OpenThoughts-Agent
+
+# Performance
+
+Evaluated in the **terminus-2** harness (pass@1, mean over 3 stochastic re-runs):
+
+| Model | Harness | SWE-Bench-Verified-100 | OpenThoughts-TBLite | Terminal-Bench 2.0 |
+| --- | --- | --- | --- | --- |
+| [Qwen/Qwen3-32B](https://huggingface.co/Qwen/Qwen3-32B) | Terminus-2 | 26.7 | 13.7 | 7.5 |
+| **OpenThinkerAgent-32B** | Terminus-2 | 55.7 | 41.3 | 26.2 |
+
+Across the full seven-benchmark suite (best harness per benchmark), **OpenThinkerAgent-32B** is the strongest open-data model at the 32B scale:
+
+| Benchmark | Accuracy |
+| --- | --- |
+| SWE-Bench-Verified | 54.0 |
+| Terminal-Bench 2.0 | 26.2 |
+| Aider-Polyglot | 32.4 |
+| BFCL-Parity | 85.9 |
+| MedAgentBench | 47.8 |
+| GAIA-127 | 23.6 |
+| FinanceAgent-Terminal | 44.0 |
+| **Average (7)** | **44.8** |
+
+# Data
+
+The model is trained on [OpenThoughts-Agent-SFT-100K](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-SFT-100K): (task, agent-trajectory) pairs from the Top-4 task sources (SWE-Smith, StackExchange-SuperUser, StackExchange-Tezos with synthetic augmentation, IssueTasks). Trajectories are generated by GLM-4.7-AWQ in the terminus-2 harness and filtered to traces with at least 5 model turns.
+
+### Training hyperparameters
+- learning_rate: 4e-05
+- lr_scheduler_type: cosine, warmup_ratio 0.1
+- global_batch_size: 96
+- num_epochs: 5
+- cutoff_len: 32768
+- precision: bf16, DeepSpeed ZeRO-3
+
+# Links
+- 🌐 [OpenThoughts-Agent project page](https://www.openthoughts.ai/blog/agent)
+- 💻 [OpenThoughts-Agent GitHub repository](https://github.com/open-thoughts/OpenThoughts-Agent)
+- 📚 [OpenThinker-Agent collection](https://huggingface.co/collections/open-thoughts/openthinker-agent)
+- 🧠 [Training dataset: OpenThoughts-Agent-SFT-100K](https://huggingface.co/datasets/open-thoughts/OpenThoughts-Agent-SFT-100K)
+
+# Citation
+```
+@misc{openthoughts-agent,
+  author = {Team, OpenThoughts-Agent},
+  title = {{OpenThoughts-Agent: Data Recipes for Agentic Models}},
+  howpublished = {https://www.openthoughts.ai/blog/agent},
+  year = {2026}
+}
+```