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v2.0.0

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@tastelikefeet tastelikefeet released this 15 Apr 09:19
· 2136 commits to main since this release

New Features

  1. Support for peft 0.10.x version, with the default value of the tuner_backend parameter changed to peft. The interface of peft has been dynamically patched to support parameters like lora_dtype.
  2. Support for vllm+lora inference.
  3. Refactored and updated the README file.
  4. Added English versions of the documentation. Currently, all documents have both English and Chinese versions.
  5. Support for training 70B models using FSDP+QLoRA on dual 24GB GPUs. Script available at: https://github.com/modelscope/swift/blob/main/examples/pytorch/llm/scripts/llama2_70b_chat/qlora_fsdp/sft.sh
  6. Support for training agents and using the ModelScopeAgent framework. Documentation available at: https://github.com/modelscope/swift/blob/main/docs/source/LLM/Agent%E5%BE%AE%E8%B0%83%E6%9C%80%E4%BD%B3%E5%AE%9E%E8%B7%B5.md
  7. Support for model evaluation and benchmark. Documentation available at: https://github.com/modelscope/swift/blob/main/docs/source/LLM/LLM%E8%AF%84%E6%B5%8B%E6%96%87%E6%A1%A3.md
  8. Support for multi-task experiment management. Documentation available at: https://github.com/modelscope/swift/blob/main/docs/source/LLM/LLM%E5%AE%9E%E9%AA%8C%E6%96%87%E6%A1%A3.md
  9. Support for GaLore training.
  10. Support for training and inference of AQLM and AWQ quantized models.

New Models

New Datasets

What's Changed

New Contributors

Full Changelog: v1.7.3...v2.0.0