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AVSQwen Packed Conda Environments
Pre-packed conda environments for reproducing 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
# 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/condaspecs in the AVSQwen repo instead.
Integrity
SHA-256 checksums (also stored in SHA256SUMS.txt):
34fc367009ff8291f99cceb79181ca3cd52b2fae9f15947153efb6669edfe320 avsqwen_swift.tar.gz
ae62fe9801981716404d5e310b98b17a802fe4e29ff5f8373b810d50a6d662a8 cod.zip
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