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Model: kojima-lab/molcrawl-molecule-nat-lang-mol-instructions-gpt2-small
Source: Original Platform

README.md

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+---
+license: apache-2.0
+tags:
+- pytorch
+- gpt2
+- molecule-nl
+pipeline_tag: text-generation
+---
+
+# molcrawl-molecule-nat-lang-mol-instructions-gpt2-small
+
+## Model Description
+
+GPT-2 small (124M parameters) fine-tuned on molecule-oriented instruction data from [Mol-Instructions](https://huggingface.co/datasets/zjunlp/Mol-Instructions), starting from the `molcrawl-molecule-nat-lang-gpt2-small` pre-trained model.
+
+## Datasets
+
+- **Mol-Instructions**: [https://huggingface.co/datasets/zjunlp/Mol-Instructions](https://huggingface.co/datasets/zjunlp/Mol-Instructions) (Fine-tuning dataset)
+
+- **Model Type**: gpt2
+- **Data Type**: Molecule-NL
+- **Training Date**: 2026-04-24
+
+## Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model = AutoModelForCausalLM.from_pretrained("kojima-lab/molcrawl-molecule-nat-lang-mol-instructions-gpt2-small")
+tokenizer = AutoTokenizer.from_pretrained("kojima-lab/molcrawl-molecule-nat-lang-mol-instructions-gpt2-small")
+
+# Generate molecule-related text
+prompt = "The compound with SMILES CC(=O)Oc1ccccc1C(=O)O represents aspirin, which"
+inputs = tokenizer(prompt, return_tensors="pt")
+with torch.no_grad():
+    output_ids = model.generate(
+        **inputs,
+        max_new_tokens=100,
+        do_sample=True,
+        temperature=0.8,
+        eos_token_id=None,  # HF config.json has legacy eos_token_id=0; disable early stop
+        pad_token_id=0,
+    )
+print(tokenizer.decode(output_ids[0], skip_special_tokens=True))
+
+```
+
+## Source Code
+
+Training pipeline, configuration files, and data preparation scripts are
+available in the MolCrawl GitHub repository:
+[https://github.com/mmai-framework-lab/MolCrawl](https://github.com/mmai-framework-lab/MolCrawl)
+
+## License
+
+This model is released under the APACHE-2.0 license.
+
+## Citation
+
+If you use this model, please cite:
+
+```bibtex
+@misc{molcrawl_molecule_nat_lang_mol_instructions_gpt2_small,
+  title={molcrawl-molecule-nat-lang-mol-instructions-gpt2-small},
+  author={{RIKEN}},
+  year={2026},
+  publisher={{Hugging Face}},
+  url={{https://huggingface.co/kojima-lab/molcrawl-molecule-nat-lang-mol-instructions-gpt2-small}}
+}
+```