Instructions to use NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF",
	filename="zai-org_GLM-4.5-Air-bf16-00001-of-00005.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-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 NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF:BF16
# Run inference directly in the terminal:
llama cli -hf NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF:BF16
# Run inference directly in the terminal:
llama cli -hf NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF:BF16

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 NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF:BF16
# Run inference directly in the terminal:
./llama-cli -hf NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF:BF16

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 NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF:BF16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF:BF16

Use Docker

docker model run hf.co/NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF:BF16

LM Studio
Jan
Ollama
How to use NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF with Ollama:
```
ollama run hf.co/NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF:BF16
```

Unsloth Studio

How to use NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-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 NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-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 NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF with Docker Model Runner:
```
docker model run hf.co/NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF:BF16
```

Lemonade

How to use NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF:BF16

Run and chat with the model

lemonade run user.zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF-BF16

List all available models

lemonade list

The IQ4_XS_L quant is meant to be run with IK_Llama.cpp or the incoming EsoCroK.Cpp, because it uses a Q6_0 quant specific to IK_Llama.cpp

Here's EsoCrok, compatible with the llama.cpp mainline quants AND Q6_0

https://github.com/Nexesenex/croco.cpp/releases/tag/v1.97200_b6119_RMv1.14.9m

The usual Croco has not been updated (yet?) to support properly GLM 4.5 (or OpenAI GPT OSS)

Downloads last month: 24

GGUF

Model size

110B params

Architecture

glm4moe

Hardware compatibility

4-bit

16-bit

Inference Providers NEW

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Model tree for NexesQuants/zai-org_GLM-4.5-Air-bf16-iMat-IKL-CQ-GGUF

Base model

zai-org/GLM-4.5-Air

Quantized

(62)

this model