Download env/requirements.txt from anonymousfileupload/divsim-code: direct link, hf CLI and curl.
- Browser
- Download file 1.55 kB
-
https://huggingface.co/datasets/anonymousfileupload/divsim-code/resolve/main/env/requirements.txt
- Command line
-
hf download hf://datasets/anonymousfileupload/divsim-code/env/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/datasets/anonymousfileupload/divsim-code/resolve/main/env/requirements.txt
1.55 kB
| # divsim reproducibility bundle — Python dependencies | |
| # Tested on Python 3.12, Linux (RHEL 9) | |
| # ── OASIS / CAMEL core ──────────────────────────────────────────────────────── | |
| camel-ai>=0.1.6 | |
| pandas==2.2.2 | |
| igraph==0.11.6 | |
| cairocffi==1.7.1 | |
| # ── vLLM (model serving) ────────────────────────────────────────────────────── | |
| # Pin to 0.19.0 — the exact version used in all paper experiments. | |
| # Later versions may change scheduler behavior; see env/vllm_version.md. | |
| vllm==0.19.0 | |
| # ── HuggingFace model download ──────────────────────────────────────────────── | |
| huggingface-hub>=0.23.0 | |
| transformers>=4.47.0 | |
| # ── Analysis scripts ────────────────────────────────────────────────────────── | |
| numpy>=1.26.0 | |
| matplotlib>=3.9.0 | |
| scikit-learn>=1.5.0 # classifiers + SVD (content analyses, variance_cpp) | |
| scipy>=1.13.0 # sparse TF-IDF matrices (lexical_table.py, etc.) | |
| # ── Utilities ───────────────────────────────────────────────────────────────── | |
| requests>=2.32.0 | |