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license: apache-2.0
datasets:
- Jclennon/TableMind-data
language:
- en
metrics:
- exact_match
- accuracy
base_model:
- Qwen/Qwen3-8B
---
# TableMind Reinforced Model Weights
These are the official **reinforcement learning (RL) fine-tuned model checkpoints** for the paper:
**"TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning"**.
---
## 📦 Model Details
* **Base Model**: Qwen3-8B
* **Tuning Framework**: [Verl](https://github.com/volcengine/verl) + [LLaMA Factory](https://github.com/hiyouga/LLaMA-Factory)
This model follows the standard Hugging Face `transformers` format and uses the efficient `safetensors` backend.
```
Time-R1/
├── added_tokens.json
├── config.json
├── generation_config.json
├── merges.txt
├── model-00001-of-00004.safetensors
├── model-00002-of-00004.safetensors
├── model-00003-of-00004.safetensors
├── model-00004-of-00004.safetensors
├── model.safetensors.index.json
├── special_tokens_map.json
├── tokenizer.json
├── tokenizer_config.json
└── vocab.json
```
--- |