README.md

metadata

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 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 / conda specs in the AVSQwen repo instead.

Integrity

SHA-256 checksums (also stored in SHA256SUMS.txt):

34fc367009ff8291f99cceb79181ca3cd52b2fae9f15947153efb6669edfe320  avsqwen_swift.tar.gz
ae62fe9801981716404d5e310b98b17a802fe4e29ff5f8373b810d50a6d662a8  cod.zip