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v2.5.0

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@Jintao-Huang Jintao-Huang released this 10 Oct 02:21
· 79 commits to main since this release

English Version

New Features:

  1. Support for GPTQ & AWQ quantization of multimodal LLMs.
  2. Support for dynamic addition of gradient checkpointing in the ViT section to reduce memory consumption.
  3. Support for multimodal model pre-training.

New Models:

  1. llama3.2, llama3.2-vision series
  2. got-ocr2
  3. llama3.1-omni
  4. ovis1.6-gemma2
  5. pixtral-12b
  6. telechat2-115b
  7. mistral-small-inst-2409

New Datasets:

  1. egoschema

中文版

新特性:

  1. 支持多模态LLM的gptq&awq量化.
  2. 支持动态在vit部分增加gradient_checkpointing, 减少显存消耗.
  3. 支持多模态模型预训练.

新模型:

  1. llama3.2, llama3.2-vision系列
  2. got-ocr2
  3. llama3.1-omni
  4. ovis1.6-gemma2
  5. pixtral-12b
  6. telechat2-115b
  7. mistral-small-inst-2409

新数据集:

  1. egoschema

What's Changed

New Contributors

Full Changelog: v2.4.2...v2.5.0