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hsaest/Qwen2-7B-Instruct-travelplanner-SFT
Qwen2-7B-Instruct-travelplanner-SFT is a text generation model from hsaest. Use it when you need the model to write or continue text. It is set up for transformers.
If our related resources prove valuable to your research, we kindly ask for a citation.
Downloads · 30 days
9
3% of all-time downloads
All-time downloads
359
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.safetensors30.5 GB · 100%
From the Hugging Face model README
| Commonsense (Micro) | Commonsense (Macro) | Hard (Micro) | Hard (Macro) | Final Pass Rate | |
|---|---|---|---|---|---|
| Direct Prompting | |||||
| Llama3.1-8B | 60.1 | 0.0 | 7.9 | 2.8 | 0.0 |
| Qwen2-7B | 49.9 | 1.1 | 2.1 | 0.0 | 0.0 |
| Fine-tuning | |||||
| Llama3.1-8B | 78.3 | 17.8 | 19.3 | 6.1 | 3.8 |
| Qwen2-7B | 59.0 | 0.6 | 0.2 | 0.0 | 0.0 |
If our related resources prove valuable to your research, we kindly ask for a citation.
@article{xie2024revealing,
title={Revealing the Barriers of Language Agents in Planning},
author={Xie, Jian and Zhang, Kexun and Chen, Jiangjie and Yuan, Siyu and Zhang, Kai and Zhang, Yikai and Li, Lei and Xiao, Yanghua},
journal={arXiv preprint arXiv:2410.12409},
year={2024}
}