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unclemusclez
/
SmolLM-135M-Instruct-DEVINator-v0.2

Sentence Similarity
sentence-transformers
Safetensors
GGUF
llama
feature-extraction
Trained with AutoTrain
text-embeddings-inference
conversational
Model card Files Files and versions
xet
Community

Instructions to use unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2 with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2")
    
    sentences = [
        "search_query: i love autotrain",
        "search_query: huggingface auto train",
        "search_query: hugging face auto train",
        "search_query: i love autotrain"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2 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 unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
    # Run inference directly in the terminal:
    llama cli -hf unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
    # Run inference directly in the terminal:
    llama cli -hf unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
    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 unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
    # Run inference directly in the terminal:
    ./llama-cli -hf unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
    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 unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
    Use Docker
    docker model run hf.co/unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
  • LM Studio
  • Jan
  • Ollama

    How to use unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2 with Ollama:

    ollama run hf.co/unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
  • Unsloth Desktop
  • Docker Model Runner

    How to use unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2 with Docker Model Runner:

    docker model run hf.co/unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
  • Lemonade

    How to use unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2 with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull unclemusclez/SmolLM-135M-Instruct-DEVINator-v0.2
    Run and chat with the model
    lemonade run user.SmolLM-135M-Instruct-DEVINator-v0.2-{{QUANT_TAG}}
    List all available models
    lemonade list
  • Atomic Chat
SmolLM-135M-Instruct-DEVINator-v0.2
543 MB
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  • 1 contributor
History: 7 commits
unclemusclez's picture
unclemusclez
Update README.md
b1be129 verified about 2 years ago
  • .gitattributes
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  • README.md
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  • SmolLM-135M-Instruct-DEVINator-v0.2.gguf
    271 MB
    xet
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  • config.json
    755 Bytes
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  • generation_config.json
    137 Bytes
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  • merges.txt
    466 kB
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  • model.safetensors
    269 MB
    xet
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  • special_tokens_map.json
    655 Bytes
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  • tokenizer.json
    2.1 MB
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  • tokenizer_config.json
    3.78 kB
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  • vocab.json
    801 kB
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