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stacklok
/
CodeLlama-7b-hf

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

Instructions to use stacklok/CodeLlama-7b-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use stacklok/CodeLlama-7b-hf with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/codellama-7b-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "stacklok/CodeLlama-7b-hf")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Unsloth Studio new

    How to use stacklok/CodeLlama-7b-hf with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for stacklok/CodeLlama-7b-hf to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for stacklok/CodeLlama-7b-hf to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for stacklok/CodeLlama-7b-hf to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="stacklok/CodeLlama-7b-hf",
        max_seq_length=2048,
    )
CodeLlama-7b-hf
4.03 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
lukehinds's picture
lukehinds
Upload model trained with Unsloth
ab17c84 verified over 1 year ago
  • runs
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  • .gitattributes
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  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
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  • config.json
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  • generation_config.json
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  • model.safetensors
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  • special_tokens_map.json
    717 Bytes
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  • tokenizer.json
    1.84 MB
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  • tokenizer.model
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  • training_args.bin

    Detected Pickle imports (9)

    • "accelerate.utils.dataclasses.DistributedType",
    • "transformers.trainer_utils.SchedulerType",
    • "accelerate.state.PartialState",
    • "torch.device",
    • "transformers.trainer_utils.HubStrategy",
    • "trl.trainer.sft_config.SFTConfig",
    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.trainer_pt_utils.AcceleratorConfig",
    • "transformers.training_args.OptimizerNames"

    How to fix it?

    5.5 kB
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