Instructions to use ddh0/GLM-4.5-Air-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use ddh0/GLM-4.5-Air-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 ddh0/GLM-4.5-Air-GGUF:Q5_0
# Run inference directly in the terminal:
llama cli -hf ddh0/GLM-4.5-Air-GGUF:Q5_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ddh0/GLM-4.5-Air-GGUF:Q5_0
# Run inference directly in the terminal:
llama cli -hf ddh0/GLM-4.5-Air-GGUF:Q5_0

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 ddh0/GLM-4.5-Air-GGUF:Q5_0
# Run inference directly in the terminal:
./llama-cli -hf ddh0/GLM-4.5-Air-GGUF:Q5_0

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 ddh0/GLM-4.5-Air-GGUF:Q5_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf ddh0/GLM-4.5-Air-GGUF:Q5_0

Use Docker

docker model run hf.co/ddh0/GLM-4.5-Air-GGUF:Q5_0

LM Studio
Jan
Ollama
How to use ddh0/GLM-4.5-Air-GGUF with Ollama:
```
ollama run hf.co/ddh0/GLM-4.5-Air-GGUF:Q5_0
```
Unsloth Desktop

How to use ddh0/GLM-4.5-Air-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ddh0/GLM-4.5-Air-GGUF:Q5_0

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": "ddh0/GLM-4.5-Air-GGUF:Q5_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use ddh0/GLM-4.5-Air-GGUF with Docker Model Runner:
```
docker model run hf.co/ddh0/GLM-4.5-Air-GGUF:Q5_0
```

Lemonade

How to use ddh0/GLM-4.5-Air-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ddh0/GLM-4.5-Air-GGUF:Q5_0

Run and chat with the model

lemonade run user.GLM-4.5-Air-GGUF-Q5_0

List all available models

lemonade list

Hermes Agent

How to use ddh0/GLM-4.5-Air-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ddh0/GLM-4.5-Air-GGUF:Q5_0

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 ddh0/GLM-4.5-Air-GGUF:Q5_0

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use ddh0/GLM-4.5-Air-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ddh0/GLM-4.5-Air-GGUF:Q5_0

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 "ddh0/GLM-4.5-Air-GGUF:Q5_0" \
  --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"

ddh0 commited on Aug 10, 2025

Commit

7e02b01

verified ·

1 Parent(s): 029c1c1

Update README.md

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README.md +16 -1

README.md CHANGED Viewed

@@ -5,4 +5,19 @@ base_model_relation: quantized
 quantized_by: ddh0
 ---
-GGUF quantizations of [GLM-4.5-Air](https://huggingface.co/zai-org/GLM-4.5-Air).

 quantized_by: ddh0
 ---
+# GLM-4.5-Air-GGUF
+This repository contains several custom GGUF quantizations of [GLM-4.5-Air](https://huggingface.co/zai-org/GLM-4.5-Air), to be used with [llama.cpp](https://github.com/ggml-org/llama.cpp):
+| Filename | Size (GiB) | Average BPW | Direct link |
+| --- | --- | --- | --- |
+| GLM-4.5-Air-Q8_0-FFN-IQ3_S-IQ3_S-Q5_0.gguf | 57.43 | 4.47 | [Download](https://huggingface.co/ddh0/GLM-4.5-Air-GGUF/resolve/main/GLM-4.5-Air-Q8_0-FFN-IQ3_S-IQ3_S-Q5_0.gguf) |
+| GLM-4.5-Air-Q8_0-FFN-IQ4_XS-IQ4_XS-Q5_0.gguf | 63.86 | 4.97 | [Download](https://huggingface.co/ddh0/GLM-4.5-Air-GGUF/resolve/main/GLM-4.5-Air-Q8_0-FFN-IQ4_XS-IQ4_XS-Q5_0.gguf) |
+| GLM-4.5-Air-Q8_0-FFN-Q4_K-Q4_K-Q5_1.gguf | 67.82 | 5.27 | [Download](https://huggingface.co/ddh0/GLM-4.5-Air-GGUF/resolve/main/GLM-4.5-Air-Q8_0-FFN-Q4_K-Q4_K-Q5_1.gguf) |
+| GLM-4.5-Air-Q8_0-FFN-Q4_K-Q4_K-Q8_0.gguf | 77.71 | 6.04 | [Download](https://huggingface.co/ddh0/GLM-4.5-Air-GGUF/resolve/main/GLM-4.5-Air-Q8_0-FFN-Q4_K-Q4_K-Q8_0.gguf) |
+| GLM-4.5-Air-Q8_0-FFN-Q5_K-Q5_K-Q8_0.gguf | 85.63 | 6.66 | [Download](https://huggingface.co/ddh0/GLM-4.5-Air-GGUF/resolve/main/GLM-4.5-Air-Q8_0-FFN-Q5_K-Q5_K-Q8_0.gguf) |
+| GLM-4.5-Air-Q8_0-FFN-Q6_K-Q6_K-Q8_0.gguf | 94.04 | 7.31 | [Download](https://huggingface.co/ddh0/GLM-4.5-Air-GGUF/resolve/main/GLM-4.5-Air-Q8_0-FFN-Q6_K-Q6_K-Q8_0.gguf) |
+| GLM-4.5-Air-Q8_0.gguf | 109.39 | 8.50 | [Download](https://huggingface.co/ddh0/GLM-4.5-Air-GGUF/resolve/main/GLM-4.5-Air-Q8_0.gguf) |
+| GLM-4.5-Air-bf16.gguf | 205.81 | 16.00 | [Download](https://huggingface.co/ddh0/GLM-4.5-Air-GGUF/resolve/main/GLM-4.5-Air-bf16.gguf) |
+These quantizations use Q8_0 for all tensors by default - only the dense FFN block and conditional experts are downgraded. The shared expert is always kept in Q8_0.