Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

chanchan7
/
vicuna-qlora

PEFT
TensorBoard
Safetensors
llama
alignment-handbook
Generated from Trainer
trl
sft
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use chanchan7/vicuna-qlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use chanchan7/vicuna-qlora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("lmsys/vicuna-7b-v1.5")
    model = PeftModel.from_pretrained(base_model, "chanchan7/vicuna-qlora")
  • Notebooks
  • Google Colab
  • Kaggle
vicuna-qlora
82.4 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
chanchan7's picture
chanchan7
End of training
7f72ba2 verified over 2 years ago
  • runs
    Model save over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.6 kB
    End of training over 2 years ago
  • adapter_config.json
    650 Bytes
    Training in progress, step 100 over 2 years ago
  • adapter_model.safetensors
    80 MB
    xet
    Model save over 2 years ago
  • all_results.json
    364 Bytes
    Model save over 2 years ago
  • config.json
    1.09 kB
    End of training over 2 years ago
  • eval_results.json
    188 Bytes
    Model save over 2 years ago
  • special_tokens_map.json
    552 Bytes
    Training in progress, step 100 over 2 years ago
  • tokenizer.json
    1.84 MB
    Training in progress, step 100 over 2 years ago
  • tokenizer.model
    500 kB
    xet
    Training in progress, step 100 over 2 years ago
  • tokenizer_config.json
    1.38 kB
    Training in progress, step 100 over 2 years ago
  • train_results.json
    196 Bytes
    Model save over 2 years ago
  • trainer_state.json
    14.7 kB
    Model save over 2 years ago
  • training_args.bin

    Detected Pickle imports (8)

    • "accelerate.state.PartialState",
    • "transformers.trainer_utils.SchedulerType",
    • "transformers.trainer_utils.HubStrategy",
    • "transformers.trainer_utils.IntervalStrategy",
    • "torch.device",
    • "transformers.training_args.OptimizerNames",
    • "alignment.configs.SFTConfig",
    • "accelerate.utils.dataclasses.DistributedType"

    How to fix it?

    4.73 kB
    xet
    Training in progress, step 100 over 2 years ago