metadata
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 + 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