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transitionGap
/
RATIONCARD-IN-SmolLM-360M-smallset

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

Instructions to use transitionGap/RATIONCARD-IN-SmolLM-360M-smallset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use transitionGap/RATIONCARD-IN-SmolLM-360M-smallset with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("transitionGap/RATIONCARD-IN-SmolLM-360M-smallset", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use transitionGap/RATIONCARD-IN-SmolLM-360M-smallset 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 transitionGap/RATIONCARD-IN-SmolLM-360M-smallset:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf transitionGap/RATIONCARD-IN-SmolLM-360M-smallset:Q4_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf transitionGap/RATIONCARD-IN-SmolLM-360M-smallset:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf transitionGap/RATIONCARD-IN-SmolLM-360M-smallset:Q4_K_M
    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 transitionGap/RATIONCARD-IN-SmolLM-360M-smallset:Q4_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf transitionGap/RATIONCARD-IN-SmolLM-360M-smallset:Q4_K_M
    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 transitionGap/RATIONCARD-IN-SmolLM-360M-smallset:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf transitionGap/RATIONCARD-IN-SmolLM-360M-smallset:Q4_K_M
    Use Docker
    docker model run hf.co/transitionGap/RATIONCARD-IN-SmolLM-360M-smallset:Q4_K_M
  • LM Studio
  • Jan
  • Ollama

    How to use transitionGap/RATIONCARD-IN-SmolLM-360M-smallset with Ollama:

    ollama run hf.co/transitionGap/RATIONCARD-IN-SmolLM-360M-smallset:Q4_K_M
  • Unsloth Desktop
  • Docker Model Runner

    How to use transitionGap/RATIONCARD-IN-SmolLM-360M-smallset with Docker Model Runner:

    docker model run hf.co/transitionGap/RATIONCARD-IN-SmolLM-360M-smallset:Q4_K_M
  • Lemonade

    How to use transitionGap/RATIONCARD-IN-SmolLM-360M-smallset with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull transitionGap/RATIONCARD-IN-SmolLM-360M-smallset:Q4_K_M
    Run and chat with the model
    lemonade run user.RATIONCARD-IN-SmolLM-360M-smallset-Q4_K_M
    List all available models
    lemonade list
  • Atomic Chat
RATIONCARD-IN-SmolLM-360M-smallset
2.44 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
Prasad12344321's picture
Prasad12344321
(Trained with Unsloth)
5c77e30 verified almost 2 years ago
  • .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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  • merges.txt
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  • model.safetensors
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  • special_tokens_map.json
    659 Bytes
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  • tokenizer.json
    3.52 MB
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  • unsloth.BF16.gguf
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  • unsloth.Q4_K_M.gguf
    271 MB
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  • unsloth.Q5_K_M.gguf
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  • unsloth.Q8_0.gguf
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  • vocab.json
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