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y4shg
/
JyotiGPT

Adapters
PyTorch
GGUF
English
qwen2
conversational
Model card Files Files and versions
xet
Community

Instructions to use y4shg/JyotiGPT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Adapters

    How to use y4shg/JyotiGPT with Adapters:

    from adapters import AutoAdapterModel
    
    model = AutoAdapterModel.from_pretrained("fill-in-model-name")
    model.load_adapter("y4shg/JyotiGPT", set_active=True)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use y4shg/JyotiGPT with llama.cpp:

    Install (macOS, Linux)
    curl -LsSf https://llama.app/install.sh | sh
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf y4shg/JyotiGPT:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf y4shg/JyotiGPT:Q8_0
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf y4shg/JyotiGPT:Q8_0
    # Run inference directly in the terminal:
    llama cli -hf y4shg/JyotiGPT:Q8_0
    Use pre-built binary
    # Download pre-built binary from:
    # https://github.com/ggerganov/llama.cpp/releases
    # Start a local OpenAI-compatible server with a web UI:
    ./llama-server -hf y4shg/JyotiGPT:Q8_0
    # Run inference directly in the terminal:
    ./llama-cli -hf y4shg/JyotiGPT:Q8_0
    Build from source code
    git clone https://github.com/ggerganov/llama.cpp.git
    cd llama.cpp
    cmake -B build
    cmake --build build -j --target llama-server llama-cli
    # Start a local OpenAI-compatible server with a web UI:
    ./build/bin/llama-server -hf y4shg/JyotiGPT:Q8_0
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf y4shg/JyotiGPT:Q8_0
    Use Docker
    docker model run hf.co/y4shg/JyotiGPT:Q8_0
  • LM Studio
  • Jan
  • Ollama

    How to use y4shg/JyotiGPT with Ollama:

    ollama run hf.co/y4shg/JyotiGPT:Q8_0
  • Unsloth Desktop
  • Docker Model Runner

    How to use y4shg/JyotiGPT with Docker Model Runner:

    docker model run hf.co/y4shg/JyotiGPT:Q8_0
  • Lemonade

    How to use y4shg/JyotiGPT with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull y4shg/JyotiGPT:Q8_0
    Run and chat with the model
    lemonade run user.JyotiGPT-Q8_0
    List all available models
    lemonade list
  • Atomic Chat
JyotiGPT
1.54 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 26 commits
Yash
Update README.md
3db9617 verified 11 months ago
  • .gitattributes
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  • Modelfile
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  • README.md
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  • added_tokens.json
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  • chat_template.jinja
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  • config.json
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  • generation_config.json
    265 Bytes
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  • merges.txt
    1.67 MB
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.HalfStorage"

    What is a pickle import?

    988 MB
    xet
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  • special_tokens_map.json
    614 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    4.71 kB
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  • unsloth.Q8_0.gguf
    531 MB
    xet
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  • vocab.json
    2.78 MB
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