Upload packed conda environments: README.md

README.md

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+---
+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
+```