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

klusai
/
tf2-12b-gguf

Text Generation
GGUF
English
Romanian
llama.cpp
translation
en-ro
lora
gemma-3
12b
fine-tuned
Synthetic
fables
instruction-following
conversational
Model card Files Files and versions
xet
Community

Instructions to use klusai/tf2-12b-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 klusai/tf2-12b-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 klusai/tf2-12b-gguf:F16
    # Run inference directly in the terminal:
    llama cli -hf klusai/tf2-12b-gguf:F16
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf klusai/tf2-12b-gguf:F16
    # Run inference directly in the terminal:
    llama cli -hf klusai/tf2-12b-gguf: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 klusai/tf2-12b-gguf:F16
    # Run inference directly in the terminal:
    ./llama-cli -hf klusai/tf2-12b-gguf: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 klusai/tf2-12b-gguf:F16
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf klusai/tf2-12b-gguf:F16
    Use Docker
    docker model run hf.co/klusai/tf2-12b-gguf:F16
  • LM Studio
  • Jan
  • vLLM

    How to use klusai/tf2-12b-gguf with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "klusai/tf2-12b-gguf"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/chat/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "klusai/tf2-12b-gguf",
    		"messages": [
    			{
    				"role": "user",
    				"content": "What is the capital of France?"
    			}
    		]
    	}'
    Use Docker
    docker model run hf.co/klusai/tf2-12b-gguf:F16
  • Ollama

    How to use klusai/tf2-12b-gguf with Ollama:

    ollama run hf.co/klusai/tf2-12b-gguf:F16
  • Unsloth Desktop
  • Docker Model Runner

    How to use klusai/tf2-12b-gguf with Docker Model Runner:

    docker model run hf.co/klusai/tf2-12b-gguf:F16
  • Lemonade

    How to use klusai/tf2-12b-gguf with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull klusai/tf2-12b-gguf:F16
    Run and chat with the model
    lemonade run user.tf2-12b-gguf-F16
    List all available models
    lemonade list
  • Atomic Chat
tf2-12b-gguf
32 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 17 commits
andreiPiscoran's picture
andreiPiscoran
Create README.md
dfe5193 verified about 1 year ago
  • f16
    Delete f16/tf2-12b-f16.gguf about 1 year ago
  • q5_k_m
    Delete q5_k_m/tf2-12b-q5_k_m.gguf about 1 year ago
  • .gitattributes
    2.05 kB
    Rename tf2-12b-8k-q5_k_m.gguf to q5_k_m/tf2-12b-8k-q5_k_m.gguf about 1 year ago
  • README.md
    2.49 kB
    Create README.md about 1 year ago
  • handler.py
    1.07 kB
    Update handler.py about 1 year ago
  • requirements.txt
    31 Bytes
    Create requirements.txt about 1 year ago