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zenlyst
/
codellama-7b-pr-review-lora

Text Generation
PEFT
Safetensors
English
code-review
qlora
lora
codellama
python
pull-request
conversational
Model card Files Files and versions
xet
Community

Instructions to use zenlyst/codellama-7b-pr-review-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use zenlyst/codellama-7b-pr-review-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-Instruct-hf")
    model = PeftModel.from_pretrained(base_model, "zenlyst/codellama-7b-pr-review-lora")
  • Notebooks
  • Google Colab
  • Kaggle
codellama-7b-pr-review-lora
71.3 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
zenlyst's picture
zenlyst
Add v1 LoRA adapter weights and tokenizer
7853dc9 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    11.6 kB
    Update README.md about 2 months ago
  • adapter_config.json
    1.02 kB
    Add v1 LoRA adapter weights and tokenizer about 2 months ago
  • adapter_model.safetensors
    67.1 MB
    xet
    Add v1 LoRA adapter weights and tokenizer about 2 months ago
  • special_tokens_map.json
    538 Bytes
    Add v1 LoRA adapter weights and tokenizer about 2 months ago
  • tokenizer.json
    3.62 MB
    Add v1 LoRA adapter weights and tokenizer about 2 months ago
  • tokenizer.model
    500 kB
    xet
    Add v1 LoRA adapter weights and tokenizer about 2 months ago
  • tokenizer_config.json
    2.71 kB
    Add v1 LoRA adapter weights and tokenizer about 2 months ago