| --- |
| license: apache-2.0 |
| tags: |
| - conda-env |
| - reproducibility |
| - avsqwen |
| - qwen2.5-omni |
| pretty_name: AVSQwen Conda Environments |
| --- |
| |
| # AVSQwen Packed Conda Environments |
|
|
| Pre-packed conda environments for reproducing [AVSQwen](https://github.com/<your-org>/AVSQwen) |
| training & inference. Extract and activate; **no `pip install` needed**. |
|
|
| | File | Size | Purpose | |
| |---|---|---| |
| | `avsqwen_swift.tar.gz` | 4.11 GB | Main env: ms-swift + vllm + GRPO training + inference | |
| | `cod.zip` | 8.42 GB | Auxiliary env: COD / dataset preprocessing | |
|
|
| ## Usage |
|
|
| ```bash |
| # Download (or: `huggingface-cli download ...`) |
| huggingface-cli download Vegetabot/AVSQwen-Envs --repo-type dataset --local-dir envs/ |
| |
| # 1. avsqwen_swift (main env: ms-swift + vllm + GRPO training + inference) |
| mkdir -p ~/envs/avsqwen_swift |
| tar -xzf envs/avsqwen_swift.tar.gz -C ~/envs/avsqwen_swift |
| source ~/envs/avsqwen_swift/bin/activate |
| conda-unpack || true # fix shebangs if the archive was built via conda-pack |
| |
| # 2. cod (auxiliary env for COD / dataset preprocessing) |
| mkdir -p ~/envs/cod |
| unzip envs/cod.zip -d ~/envs/cod |
| source ~/envs/cod/bin/activate |
| conda-unpack || true |
| ``` |
|
|
| > These archives target **linux-x86_64 + CUDA 12.x**. If your system differs, |
| > rebuild from the `pip` / `conda` specs in the AVSQwen repo instead. |
| |
| ## Integrity |
| |
| SHA-256 checksums (also stored in `SHA256SUMS.txt`): |
| |
| ``` |
| 34fc367009ff8291f99cceb79181ca3cd52b2fae9f15947153efb6669edfe320 avsqwen_swift.tar.gz |
| ae62fe9801981716404d5e310b98b17a802fe4e29ff5f8373b810d50a6d662a8 cod.zip |
| ``` |
| |
