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Feat/loras #865

Merged
merged 11 commits into from
May 4, 2024
Merged

Feat/loras #865

merged 11 commits into from
May 4, 2024

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tastelikefeet
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PR type

  • Bug Fix
  • New Feature
  • Document Updates
  • More Models or Datasets Support

PR information

Support multiple lora deployment

Experiment results

Paste your experiment result here(if needed).

@tastelikefeet tastelikefeet merged commit b6c4f1b into modelscope:main May 4, 2024
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tastelikefeet added a commit to tastelikefeet/swift that referenced this pull request May 10, 2024
* main: (24 commits)
  fix pre-commit
  traindataset异常提示 (modelscope#859)
  Feat/pack (modelscope#881)
  fix swift cli exit code if subprocess is failed (modelscope#879)
  support Deepseek-V2-Chat and InternVL-Chat-V1.5-int8 model  (modelscope#876)
  add llava-llama (modelscope#873)
  support ORPO algorithm (modelscope#854)
  fix dataset info deepcopy (modelscope#871)
  fix dataset_test_ratio=1 (modelscope#869)
  Refactor dataset (modelscope#802)
  Feat/loras (modelscope#865)
  Update tuner docs (modelscope#853)
  update docs (modelscope#850)
  Fix code format and docs (modelscope#847)
  update (modelscope#846)
  fix xcomposer device_map (modelscope#844)
  fix merge_lora_dtype (modelscope#842)
  Fix infer default dtype (modelscope#834)
  fix ui (modelscope#830)
  support Internvl-chat-v1.5 model (modelscope#824)
  ...

# Conflicts:
#	docs/source/LLM/自定义与拓展.md
#	docs/source_en/LLM/Customization.md
#	examples/pytorch/llm/custom.py
#	scripts/benchmark/exp_utils.py
#	scripts/utils/run_dataset_info.py
#	swift/aigc/diffusers/train_controlnet.py
#	swift/aigc/diffusers/train_controlnet_sdxl.py
#	swift/aigc/diffusers/train_text_to_image.py
#	swift/aigc/diffusers/train_text_to_image_lora.py
#	swift/aigc/diffusers/train_text_to_image_lora_sdxl.py
#	swift/aigc/diffusers/train_text_to_image_sdxl.py
#	swift/llm/__init__.py
#	swift/llm/deploy.py
#	swift/llm/dpo.py
#	swift/llm/export.py
#	swift/llm/infer.py
#	swift/llm/sft.py
#	swift/llm/tuner.py
#	swift/llm/utils/__init__.py
#	swift/llm/utils/argument.py
#	swift/llm/utils/client_utils.py
#	swift/llm/utils/dataset.py
#	swift/llm/utils/model.py
#	swift/llm/utils/preprocess.py
#	swift/llm/utils/template.py
#	swift/llm/utils/utils.py
#	swift/trainers/trainers.py
#	swift/tuners/base.py
#	swift/ui/llm_infer/llm_infer.py
#	swift/ui/llm_infer/runtime.py
#	swift/ui/llm_train/dataset.py
#	swift/ui/llm_train/llm_train.py
#	tests/llm/test_run.py
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2 participants