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
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

rawb123
/
TheBlokesqlcoder-GPTQ_finetune_30june_trained

Transformers
Safetensors
English
text-generation-inference
unsloth
llama
Model card Files Files and versions
xet
Community

Instructions to use rawb123/TheBlokesqlcoder-GPTQ_finetune_30june_trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rawb123/TheBlokesqlcoder-GPTQ_finetune_30june_trained with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("rawb123/TheBlokesqlcoder-GPTQ_finetune_30june_trained", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Unsloth Studio new

    How to use rawb123/TheBlokesqlcoder-GPTQ_finetune_30june_trained 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 rawb123/TheBlokesqlcoder-GPTQ_finetune_30june_trained 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 rawb123/TheBlokesqlcoder-GPTQ_finetune_30june_trained to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for rawb123/TheBlokesqlcoder-GPTQ_finetune_30june_trained to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="rawb123/TheBlokesqlcoder-GPTQ_finetune_30june_trained",
        max_seq_length=2048,
    )
TheBlokesqlcoder-GPTQ_finetune_30june_trained
5.1 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
rawb123's picture
rawb123
Upload model trained with Unsloth
f9cf9a1 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    562 Bytes
    Unsloth Model Card 11 months ago
  • adapter_config.json
    849 Bytes
    Upload model trained with Unsloth 11 months ago
  • adapter_model.safetensors
    160 MB
    xet
    Upload model trained with Unsloth 11 months ago
  • model-00001-of-00003.safetensors
    4.94 GB
    xet
    (Trained with Unsloth) 11 months ago
  • model.safetensors.index.json
    24 kB
    (Trained with Unsloth) 11 months ago
  • special_tokens_map.json
    602 Bytes
    (Trained with Unsloth) 11 months ago
  • tokenizer.json
    3.62 MB
    (Trained with Unsloth) 11 months ago
  • tokenizer.model
    500 kB
    xet
    (Trained with Unsloth) 11 months ago
  • tokenizer_config.json
    1.93 kB
    (Trained with Unsloth) 11 months ago