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

chatbotNZ
/
mtext-150224-merged

PEFT
PyTorch
GGUF
llama
axolotl
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use chatbotNZ/mtext-150224-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use chatbotNZ/mtext-150224-merged with PEFT:

    Task type is invalid.
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use chatbotNZ/mtext-150224-merged 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 chatbotNZ/mtext-150224-merged:F16
    # Run inference directly in the terminal:
    llama cli -hf chatbotNZ/mtext-150224-merged:F16
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf chatbotNZ/mtext-150224-merged:F16
    # Run inference directly in the terminal:
    llama cli -hf chatbotNZ/mtext-150224-merged:F16
    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 chatbotNZ/mtext-150224-merged:F16
    # Run inference directly in the terminal:
    ./llama-cli -hf chatbotNZ/mtext-150224-merged:F16
    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 chatbotNZ/mtext-150224-merged:F16
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf chatbotNZ/mtext-150224-merged:F16
    Use Docker
    docker model run hf.co/chatbotNZ/mtext-150224-merged:F16
  • LM Studio
  • Jan
  • Ollama

    How to use chatbotNZ/mtext-150224-merged with Ollama:

    ollama run hf.co/chatbotNZ/mtext-150224-merged:F16
  • Unsloth Studio

    How to use chatbotNZ/mtext-150224-merged with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for chatbotNZ/mtext-150224-merged to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for chatbotNZ/mtext-150224-merged to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for chatbotNZ/mtext-150224-merged to start chatting
  • Docker Model Runner

    How to use chatbotNZ/mtext-150224-merged with Docker Model Runner:

    docker model run hf.co/chatbotNZ/mtext-150224-merged:F16
  • Lemonade

    How to use chatbotNZ/mtext-150224-merged with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull chatbotNZ/mtext-150224-merged:F16
    Run and chat with the model
    lemonade run user.mtext-150224-merged-F16
    List all available models
    lemonade list
  • Atomic Chat
mtext-150224-merged
31 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
ascherrer's picture
ascherrer
Upload ggml-model-Q4.gguf with huggingface_hub
919426c verified over 2 years ago
  • .gitattributes
    1.63 kB
    Upload ggml-model-Q4.gguf with huggingface_hub over 2 years ago
  • README.md
    3.57 kB
    Upload README.md with huggingface_hub over 2 years ago
  • added_tokens.json
    39 Bytes
    Upload folder using huggingface_hub over 2 years ago
  • config.json
    691 Bytes
    Upload folder using huggingface_hub over 2 years ago
  • generation_config.json
    188 Bytes
    Upload generation_config.json with huggingface_hub over 2 years ago
  • ggml-model-Q4.gguf
    4.08 GB
    xet
    Upload ggml-model-Q4.gguf with huggingface_hub over 2 years ago
  • ggml-model-f16.gguf
    13.5 GB
    xet
    Upload ggml-model-f16.gguf with huggingface_hub over 2 years ago
  • pytorch_model-00001-of-00003.bin
    4.94 GB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • pytorch_model-00002-of-00003.bin
    4.95 GB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • pytorch_model-00003-of-00003.bin
    3.59 GB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • pytorch_model.bin.index.json
    24 kB
    Upload folder using huggingface_hub over 2 years ago
  • special_tokens_map.json
    437 Bytes
    Upload folder using huggingface_hub over 2 years ago
  • tokenizer.model
    500 kB
    xet
    Upload folder using huggingface_hub over 2 years ago
  • tokenizer_config.json
    1.35 kB
    Upload folder using huggingface_hub over 2 years ago