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DATA-ADAPT
/
full-sft

PEFT
Safetensors
lora
llama2
mmlu
data-selection
Model card Files Files and versions
xet
Community

Instructions to use DATA-ADAPT/full-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use DATA-ADAPT/full-sft with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf")
    model = PeftModel.from_pretrained(base_model, "DATA-ADAPT/full-sft")
  • Notebooks
  • Google Colab
  • Kaggle
full-sft
539 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
tonymwt's picture
tonymwt
Initial commit: LoRA checkpoint and model card
3a605bd verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    983 Bytes
    Initial commit: LoRA checkpoint and model card about 2 months ago
  • adapter_config.json
    608 Bytes
    Initial commit: LoRA checkpoint and model card about 2 months ago
  • adapter_model.safetensors
    537 MB
    xet
    Initial commit: LoRA checkpoint and model card about 2 months ago
  • added_tokens.json
    21 Bytes
    Initial commit: LoRA checkpoint and model card about 2 months ago
  • special_tokens_map.json
    552 Bytes
    Initial commit: LoRA checkpoint and model card about 2 months ago
  • tokenizer.json
    1.84 MB
    Initial commit: LoRA checkpoint and model card about 2 months ago
  • tokenizer.model
    500 kB
    xet
    Initial commit: LoRA checkpoint and model card about 2 months ago
  • tokenizer_config.json
    1.09 kB
    Initial commit: LoRA checkpoint and model card about 2 months ago