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

  • Log In
  • Sign Up

linagora
/
Labess-7b-chat-gguf

Transformers
GGUF
Tunisian Arabic
llama
text-generation-inference
unsloth
conversational
Model card Files Files and versions
xet
Community
1

Instructions to use linagora/Labess-7b-chat-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use linagora/Labess-7b-chat-gguf with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("linagora/Labess-7b-chat-gguf", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use linagora/Labess-7b-chat-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 linagora/Labess-7b-chat-gguf:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf linagora/Labess-7b-chat-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 linagora/Labess-7b-chat-gguf:Q4_K_M
    # Run inference directly in the terminal:
    llama cli -hf linagora/Labess-7b-chat-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 linagora/Labess-7b-chat-gguf:Q4_K_M
    # Run inference directly in the terminal:
    ./llama-cli -hf linagora/Labess-7b-chat-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 linagora/Labess-7b-chat-gguf:Q4_K_M
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf linagora/Labess-7b-chat-gguf:Q4_K_M
    Use Docker
    docker model run hf.co/linagora/Labess-7b-chat-gguf:Q4_K_M
  • LM Studio
  • Jan
  • Ollama

    How to use linagora/Labess-7b-chat-gguf with Ollama:

    ollama run hf.co/linagora/Labess-7b-chat-gguf:Q4_K_M
  • Unsloth Desktop
  • Docker Model Runner

    How to use linagora/Labess-7b-chat-gguf with Docker Model Runner:

    docker model run hf.co/linagora/Labess-7b-chat-gguf:Q4_K_M
  • Lemonade

    How to use linagora/Labess-7b-chat-gguf with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull linagora/Labess-7b-chat-gguf:Q4_K_M
    Run and chat with the model
    lemonade run user.Labess-7b-chat-gguf-Q4_K_M
    List all available models
    lemonade list
  • Atomic Chat
Labess-7b-chat-gguf
55.7 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 20 commits
wghezaiel's picture
wghezaiel
Update README.md
eb584e1 verified over 1 year ago
  • .gitattributes
    2.07 kB
    (Trained with Unsloth) over 1 year ago
  • Modelfile
    368 Bytes
    Add Modelfile over 1 year ago
  • README.md
    578 Bytes
    Update README.md over 1 year ago
  • config.json
    29 Bytes
    (Trained with Unsloth) over 1 year ago
  • unsloth.F16.gguf
    14 GB
    xet
    (Trained with Unsloth) over 1 year ago
  • unsloth.Q3_K_L.gguf
    3.76 GB
    xet
    (Trained with Unsloth) over 1 year ago
  • unsloth.Q3_K_M.gguf
    3.46 GB
    xet
    (Trained with Unsloth) over 1 year ago
  • unsloth.Q3_K_S.gguf
    3.11 GB
    xet
    (Trained with Unsloth) over 1 year ago
  • unsloth.Q4_K_M.gguf
    4.26 GB
    xet
    (Trained with Unsloth) over 1 year ago
  • unsloth.Q4_K_S.gguf
    4.04 GB
    xet
    (Trained with Unsloth) over 1 year ago
  • unsloth.Q5_K_M.gguf
    4.98 GB
    xet
    (Trained with Unsloth) over 1 year ago
  • unsloth.Q5_K_S.gguf
    4.85 GB
    xet
    (Trained with Unsloth) over 1 year ago
  • unsloth.Q6_K.gguf
    5.75 GB
    xet
    (Trained with Unsloth) over 1 year ago
  • unsloth.Q8_0.gguf
    7.44 GB
    xet
    (Trained with Unsloth) over 1 year ago