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

Alpha-Command-Intern
/
ralph-v2-qwen3-8b-binary-phasec-367e5e31

GGUF
Model card Files Files and versions
xet
Community

Instructions to use Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31 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 Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31 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 Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31
    # Run inference directly in the terminal:
    llama cli -hf Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31
    # Run inference directly in the terminal:
    llama cli -hf Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31
    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 Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31
    # Run inference directly in the terminal:
    ./llama-cli -hf Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31
    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 Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31
    Use Docker
    docker model run hf.co/Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31
  • LM Studio
  • Jan
  • Ollama

    How to use Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31 with Ollama:

    ollama run hf.co/Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31
  • Unsloth Desktop
  • Docker Model Runner

    How to use Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31 with Docker Model Runner:

    docker model run hf.co/Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31
  • Lemonade

    How to use Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31 with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull Alpha-Command-Intern/ralph-v2-qwen3-8b-binary-phasec-367e5e31
    Run and chat with the model
    lemonade run user.ralph-v2-qwen3-8b-binary-phasec-367e5e31-{{QUANT_TAG}}
    List all available models
    lemonade list
  • Atomic Chat
ralph-v2-qwen3-8b-binary-phasec-367e5e31
1.16 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Alpha-Command-Intern's picture
Alpha-Command-Intern
Phase-C step-1000: pure Q1_0 (code 1.0 / container 1.125), scales+norms distilled; soft-min advantage +0.0519 vs current binary king on the signed round-2 leg, no slice regression
1a0180c verified about 2 months ago
  • .gitattributes
    1.57 kB
    Phase-C step-1000: pure Q1_0 (code 1.0 / container 1.125), scales+norms distilled; soft-min advantage +0.0519 vs current binary king on the signed round-2 leg, no slice regression about 2 months ago
  • model.gguf
    1.16 GB
    xet
    Phase-C step-1000: pure Q1_0 (code 1.0 / container 1.125), scales+norms distilled; soft-min advantage +0.0519 vs current binary king on the signed round-2 leg, no slice regression about 2 months ago