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

sokann
/
GLM-5.2-GGUF-2.244bpw

GGUF
glm_moe_dsa
conversational
ik_llama.cpp
imatrix
Model card Files Files and versions
xet
Community
11

Instructions to use sokann/GLM-5.2-GGUF-2.244bpw 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 sokann/GLM-5.2-GGUF-2.244bpw 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 sokann/GLM-5.2-GGUF-2.244bpw
    # Run inference directly in the terminal:
    llama cli -hf sokann/GLM-5.2-GGUF-2.244bpw
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf sokann/GLM-5.2-GGUF-2.244bpw
    # Run inference directly in the terminal:
    llama cli -hf sokann/GLM-5.2-GGUF-2.244bpw
    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 sokann/GLM-5.2-GGUF-2.244bpw
    # Run inference directly in the terminal:
    ./llama-cli -hf sokann/GLM-5.2-GGUF-2.244bpw
    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 sokann/GLM-5.2-GGUF-2.244bpw
    # Run inference directly in the terminal:
    ./build/bin/llama-cli -hf sokann/GLM-5.2-GGUF-2.244bpw
    Use Docker
    docker model run hf.co/sokann/GLM-5.2-GGUF-2.244bpw
  • LM Studio
  • Jan
  • Ollama

    How to use sokann/GLM-5.2-GGUF-2.244bpw with Ollama:

    ollama run hf.co/sokann/GLM-5.2-GGUF-2.244bpw
  • Unsloth Desktop
  • Pi

    How to use sokann/GLM-5.2-GGUF-2.244bpw with Pi:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf sokann/GLM-5.2-GGUF-2.244bpw
    Configure the model in Pi
    # Install Pi:
    npm install -g @earendil-works/pi-coding-agent
    # Add to ~/.pi/agent/models.json:
    {
      "providers": {
        "llama-cpp": {
          "baseUrl": "http://localhost:8080/v1",
          "api": "openai-completions",
          "apiKey": "none",
          "models": [
            {
              "id": "sokann/GLM-5.2-GGUF-2.244bpw"
            }
          ]
        }
      }
    }
    Run Pi
    # Start Pi in your project directory:
    pi
  • Docker Model Runner

    How to use sokann/GLM-5.2-GGUF-2.244bpw with Docker Model Runner:

    docker model run hf.co/sokann/GLM-5.2-GGUF-2.244bpw
  • Lemonade

    How to use sokann/GLM-5.2-GGUF-2.244bpw with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull sokann/GLM-5.2-GGUF-2.244bpw
    Run and chat with the model
    lemonade run user.GLM-5.2-GGUF-2.244bpw-{{QUANT_TAG}}
    List all available models
    lemonade list
  • Hermes Agent

    How to use sokann/GLM-5.2-GGUF-2.244bpw with Hermes Agent:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf sokann/GLM-5.2-GGUF-2.244bpw
    Configure Hermes
    # Install Hermes:
    curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
    hermes setup
    # Point Hermes at the local server:
    hermes config set model.provider custom
    hermes config set model.base_url http://127.0.0.1:8080/v1
    hermes config set model.default sokann/GLM-5.2-GGUF-2.244bpw
    Run Hermes
    hermes
  • Atomic Chat
  • OpenClaw

    How to use sokann/GLM-5.2-GGUF-2.244bpw with OpenClaw:

    Start the llama.cpp server
    # Install llama.cpp:
    brew install llama.cpp
    # Start a local OpenAI-compatible server:
    llama serve -hf sokann/GLM-5.2-GGUF-2.244bpw
    Configure OpenClaw
    # Install OpenClaw:
    npm install -g openclaw@latest
    # Register the local server and set it as the default model:
    openclaw onboard --non-interactive --mode local \
      --auth-choice custom-api-key \
      --custom-base-url http://127.0.0.1:8080/v1 \
      --custom-model-id "sokann/GLM-5.2-GGUF-2.244bpw" \
      --custom-provider-id llama-cpp \
      --custom-compatibility openai \
      --custom-text-input \
      --accept-risk \
      --skip-health
    Run OpenClaw
    openclaw agent --local --agent main --message "Hello from Hugging Face"
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

mindlab-research/Macaron-V1-Venti

8
#11 opened 2 months ago by
pawarshardul

Testing 2.244bpw-muzzy-imatrix

1
#10 opened 3 months ago by
shewin

KL version?

4
#9 opened 3 months ago by
port25

Dual 3090 + ddr4 3200 performance

5
#8 opened 3 months ago by
Inlinebrother

Testing 2.244bpw

🚀 1
2
#7 opened 3 months ago by
shewin

Thank you for the excellent quant

🤗 1
#6 opened 3 months ago by
Jon-Nielsen

Having issues with crashing

3
#5 opened 3 months ago by
zambroni

What about 1.6-bit version?

👍 1
7
#4 opened 3 months ago by
BahamutRU

Great Quant on my CPU only server

🚀 1
2
#3 opened 3 months ago by
alain401

Pretty solid results with ik_llama and OpenCode!

🔥 1
11
#2 opened 3 months ago by
phakio

PPLX / Benchmarks

3
#1 opened 3 months ago by
Dsturb
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs