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abamerdeen
/
mistral-7b-phased-lora-ft-li

Transformers
Safetensors
unsloth
Model card Files Files and versions
xet
Community

Instructions to use abamerdeen/mistral-7b-phased-lora-ft-li with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use abamerdeen/mistral-7b-phased-lora-ft-li with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("abamerdeen/mistral-7b-phased-lora-ft-li", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Unsloth Studio new

    How to use abamerdeen/mistral-7b-phased-lora-ft-li 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 abamerdeen/mistral-7b-phased-lora-ft-li 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 abamerdeen/mistral-7b-phased-lora-ft-li to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for abamerdeen/mistral-7b-phased-lora-ft-li to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="abamerdeen/mistral-7b-phased-lora-ft-li",
        max_seq_length=2048,
    )
mistral-7b-phased-lora-ft-li
1.35 GB
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  • 1 contributor
History: 11 commits
abamerdeen's picture
abamerdeen
Update README.md
6fdf93d verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    6.05 kB
    Update README.md over 1 year ago
  • adapter_config.json
    806 Bytes
    Checkpoint with eval_loss: 0.6357452869415283 / dataset = abamerdeen/lmsys_chat_1m_clean_openleacher / version general- 1 epoch (Trained with Unsloth) over 1 year ago
  • adapter_model.safetensors
    1.34 GB
    xet
    Checkpoint with eval_loss: 0.6357452869415283 / dataset = abamerdeen/lmsys_chat_1m_clean_openleacher / version general- 1 epoch (Trained with Unsloth) over 1 year ago
  • special_tokens_map.json
    560 Bytes
    Checkpoint with eval_loss: 1.5463829040527344 - Version general (Trained with Unsloth) over 1 year ago
  • tokenizer.json
    3.67 MB
    Checkpoint with eval_loss: 1.5097423791885376 / dataaset = abamerdeen/MS_Marco_QA / version general- 1 epoch (Trained with Unsloth) over 1 year ago
  • tokenizer.model
    587 kB
    xet
    Checkpoint with eval_loss: 1.5463829040527344 - Version general (Trained with Unsloth) over 1 year ago
  • tokenizer_config.json
    137 kB
    Checkpoint with eval_loss: 0.6357452869415283 / dataset = abamerdeen/lmsys_chat_1m_clean_openleacher / version general- 1 epoch (Trained with Unsloth) over 1 year ago