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fr0stbit3
/
laya-gguf

Text Classification
GGUF
llama.cpp
laya
system-one
calibrated-decisions
rlcd
classification
routing
scoring
guardrails
moderation
reinforcement-learning
commercial-use
feature-extraction
Model card Files Files and versions
xet
Community

Instructions to use fr0stbit3/laya-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use fr0stbit3/laya-gguf 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 fr0stbit3/laya-gguf:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf fr0stbit3/laya-gguf:Q4_K_M
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf fr0stbit3/laya-gguf:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf fr0stbit3/laya-gguf: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 fr0stbit3/laya-gguf:Q4_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf fr0stbit3/laya-gguf: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 fr0stbit3/laya-gguf:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf fr0stbit3/laya-gguf:Q4_K_M
    Use Docker
    docker model run hf.co/fr0stbit3/laya-gguf:Q4_K_M
  • LM Studio
  • Jan
  • Ollama

    How to use fr0stbit3/laya-gguf with Ollama:

    ollama run hf.co/fr0stbit3/laya-gguf:Q4_K_M
  • Unsloth Desktop
  • Docker Model Runner

    How to use fr0stbit3/laya-gguf with Docker Model Runner:

    docker model run hf.co/fr0stbit3/laya-gguf:Q4_K_M
  • Lemonade

    How to use fr0stbit3/laya-gguf with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull fr0stbit3/laya-gguf:Q4_K_M
    Run and chat with the model
    lemonade run user.laya-gguf-Q4_K_M
    List all available models
    lemonade list
  • Atomic Chat
laya-gguf
1.94 GB
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  • 1 contributor
History: 10 commits
fr0stbit3's picture
fr0stbit3
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  • .gitattributes
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  • README.md
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  • laya-F16.gguf
    791 MB
    xet
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  • laya-Q4_K_M.gguf
    272 MB
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  • laya-Q6_K.gguf
    344 MB
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  • laya-Q8_0.gguf
    421 MB
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  • laya-head.safetensors
    106 MB
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  • laya_head.py
    550 Bytes
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  • rl_agent_config.json
    745 Bytes
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  • tokenizer.json
    3.58 MB
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  • tokenizer_config.json
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