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cstr
/
f2llm-v2-0.6b-GGUF

Feature Extraction
GGUF
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embeddings
ggml
text-embeddings
qwen3
crispembed
Model card Files Files and versions
xet
Community

Instructions to use cstr/f2llm-v2-0.6b-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 cstr/f2llm-v2-0.6b-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 cstr/f2llm-v2-0.6b-GGUF:IQ4_XS
    # Run inference directly in the terminal:
    llama cli -hf cstr/f2llm-v2-0.6b-GGUF:IQ4_XS
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf cstr/f2llm-v2-0.6b-GGUF:IQ4_XS
    # Run inference directly in the terminal:
    llama cli -hf cstr/f2llm-v2-0.6b-GGUF:IQ4_XS
    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 cstr/f2llm-v2-0.6b-GGUF:IQ4_XS
    # Run inference directly in the terminal:
    ./llama-cli -hf cstr/f2llm-v2-0.6b-GGUF:IQ4_XS
    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 cstr/f2llm-v2-0.6b-GGUF:IQ4_XS
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf cstr/f2llm-v2-0.6b-GGUF:IQ4_XS
    Use Docker
    docker model run hf.co/cstr/f2llm-v2-0.6b-GGUF:IQ4_XS
  • LM Studio
  • Jan
  • Ollama

    How to use cstr/f2llm-v2-0.6b-GGUF with Ollama:

    ollama run hf.co/cstr/f2llm-v2-0.6b-GGUF:IQ4_XS
  • Unsloth Studio

    How to use cstr/f2llm-v2-0.6b-GGUF 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 cstr/f2llm-v2-0.6b-GGUF 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 cstr/f2llm-v2-0.6b-GGUF to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for cstr/f2llm-v2-0.6b-GGUF to start chatting
  • Docker Model Runner

    How to use cstr/f2llm-v2-0.6b-GGUF with Docker Model Runner:

    docker model run hf.co/cstr/f2llm-v2-0.6b-GGUF:IQ4_XS
  • Lemonade

    How to use cstr/f2llm-v2-0.6b-GGUF with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull cstr/f2llm-v2-0.6b-GGUF:IQ4_XS
    Run and chat with the model
    lemonade run user.f2llm-v2-0.6b-GGUF-IQ4_XS
    List all available models
    lemonade list
  • Atomic Chat
f2llm-v2-0.6b-GGUF
6.21 GB
Ctrl+K
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  • 1 contributor
History: 30 commits
cstr's picture
cstr
importance matrix (calibration)
4442d7b verified 17 days ago
  • .gitattributes
    2.21 kB
    importance matrix (calibration) 17 days ago
  • README.md
    4.17 kB
    docs: add provenance / EU AI Act Art. 53 note 20 days ago
  • f2llm-v2-0.6b-c2-imatrix-ab.txt
    937 Bytes
    A/B summary (cos vs gold) 17 days ago
  • f2llm-v2-0.6b-c2.imatrix
    1.17 MB
    xet
    importance matrix (calibration) 17 days ago
  • f2llm-v2-0.6b-imatrix-ab.txt
    395 Bytes
    A/B summary (cos vs gold) about 2 months ago
  • f2llm-v2-0.6b-iq4_xs-c2.gguf
    405 MB
    xet
    iq4_xs +imatrix (cos_vs_full-precision=0.7889) 17 days ago
  • f2llm-v2-0.6b-iq4_xs.gguf
    405 MB
    xet
    iq4_xs +imatrix (cos_vs_f16=0.8150) about 2 months ago
  • f2llm-v2-0.6b-q4_k-imatrix-c2.gguf
    419 MB
    xet
    q4_k +imatrix (cos_vs_full-precision=0.8115) 17 days ago
  • f2llm-v2-0.6b-q4_k-imatrix.gguf
    419 MB
    xet
    q4_k +imatrix (cos_vs_f16=0.8303) about 2 months ago
  • f2llm-v2-0.6b-q4_k.gguf
    419 MB
    xet
    Add f2llm-v2-0.6b-q4_k.gguf 3 months ago
  • f2llm-v2-0.6b-q5_k.gguf
    474 MB
    xet
    Add f2llm-v2-0.6b-q5_k.gguf 3 months ago
  • f2llm-v2-0.6b-q8_0-imatrix.gguf
    639 MB
    xet
    q8_0 +imatrix (cos_vs_full-precision=0.9929) 17 days ago
  • f2llm-v2-0.6b-q8_0.gguf
    639 MB
    xet
    Add f2llm-v2-0.6b-q8_0.gguf 3 months ago
  • f2llm-v2-0.6b.gguf
    2.39 GB
    xet
    Add f2llm-v2-0.6b.gguf 3 months ago
  • f2llm-v2-0.6b.imatrix
    1.17 MB
    xet
    importance matrix (calibration) about 2 months ago