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

Libraries

How to use ddh0/GLM-4.5-Air-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="ddh0/GLM-4.5-Air-GGUF",
	filename="GLM-4.5-Air-Q8_0-FFN-IQ3_S-IQ3_S-Q5_0.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use ddh0/GLM-4.5-Air-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# 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

Install from WinGet (Windows)

winget install llama.cpp
# 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

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 Studio new

How to use ddh0/GLM-4.5-Air-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 ddh0/GLM-4.5-Air-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 ddh0/GLM-4.5-Air-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for ddh0/GLM-4.5-Air-GGUF to start chatting

Pi new

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-server -hf ddh0/GLM-4.5-Air-GGUF:Q5_0

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/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

Hermes Agent new

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-server -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

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

GLM-4.5-Air-GGUF

This repository contains several custom GGUF quantizations of GLM-4.5-Air, to be used with llama.cpp.

The naming scheme for these custom quantizations is as follows:

ModelName-DefaultType-FFN-UpType-GateType-DownType.gguf

Where DefaultType refers to the default tensor type, and UpType, GateType, and DownType refer to the tensor types used for the ffn_up_exps, ffn_gate_exps, and ffn_down_exps tensors respectively.

Original quantizations

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. They were quantized using bartowski's imatrix.

Filename	Size (GB)	Size (GiB)	Average BPW	Direct link
GLM-4.5-Air-Q8_0-FFN-IQ3_S-IQ3_S-Q5_0.gguf	61.66	57.43	4.47	Download
GLM-4.5-Air-Q8_0-FFN-IQ4_XS-IQ4_XS-Q5_0.gguf	68.56	63.86	4.97	Download
GLM-4.5-Air-Q8_0-FFN-Q4_K-Q4_K-Q5_1.gguf	72.82	67.82	5.27	Download
GLM-4.5-Air-Q8_0-FFN-Q4_K-Q4_K-Q8_0.gguf	83.44	77.71	6.04	Download
GLM-4.5-Air-Q8_0-FFN-Q5_K-Q5_K-Q8_0.gguf	91.94	85.63	6.66	Download
GLM-4.5-Air-Q8_0-FFN-Q6_K-Q6_K-Q8_0.gguf	100.97	94.04	7.31	Download
GLM-4.5-Air-Q8_0.gguf	117.45	109.39	8.50	Download
GLM-4.5-Air-bf16.gguf	220.98	205.81	16.00	Download

v2 quantizations

These quantizations use Q8_0 for all tensors by default, including the dense FFN block. Only the conditional experts are downgraded. The shared expert is always kept in Q8_0. They were quantized using my own imatrix (the calibration text corpus can be found here).

Filename	Size (GB)	Size (GiB)	Average BPW	Direct link
GLM-4.5-Air-Q8_0-FFN-IQ4_XS-IQ3_S-IQ4_NL-v2.gguf	60.94	56.76	4.41	Download
GLM-4.5-Air-Q8_0-FFN-IQ4_XS-IQ4_XS-IQ4_NL-v2.gguf	64.39	59.97	4.66	Download
GLM-4.5-Air-Q8_0-FFN-IQ4_XS-IQ4_XS-Q5_0-v2.gguf	68.63	63.92	4.97	Download
GLM-4.5-Air-Q8_0-FFN-IQ4_XS-IQ4_XS-Q8_0-v2.gguf	81.36	75.78	5.89	Download
GLM-4.5-Air-Q8_0-FFN-Q5_K-Q5_K-Q8_0-v2.gguf	91.97	85.66	6.66	Download
GLM-4.5-Air-Q8_0-FFN-Q6_K-Q6_K-Q8_0-v2.gguf	100.99	94.06	7.31	Download

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GGUF

Model size

110B params

Architecture

glm4moe

Hardware compatibility

4-bit

5-bit

8-bit

16-bit

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Model tree for ddh0/GLM-4.5-Air-GGUF

Base model

zai-org/GLM-4.5-Air

Quantized

(60)

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