| # Shared evaluator environment; uses the same coherent Conda CUDA 12.4 pair as | |
| # the modern baseline environments and never mixes it with pip torch wheels. | |
| name: dlb-eval | |
| channels: [pytorch, nvidia, conda-forge] | |
| dependencies: | |
| - python=3.11 | |
| - pip=24.2 | |
| - pytorch=2.5.1 | |
| - mkl<2024.1 | |
| - pytorch-cuda=12.4 | |
| - cuda-toolkit=12.4 | |
| - pip: | |
| - accelerate==1.2.1 | |
| - datasets==3.6.0 | |
| - evaluate==0.4.2 | |
| - fsspec==2025.3.0 | |
| - huggingface-hub==0.36.0 | |
| - mauve-text==0.3.0 | |
| - numpy==2.3.2 | |
| - pydantic==2.12.4 | |
| - pyyaml==6.0.2 | |
| - sacrebleu==2.5.1 | |
| - scipy==1.16.3 | |
| - tokenizers==0.22.1 | |
| - transformers==4.57.3 | |