Instructions to use zai-org/GLM-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zai-org/GLM-5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="zai-org/GLM-5")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zai-org/GLM-5", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use zai-org/GLM-5 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "zai-org/GLM-5" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "zai-org/GLM-5", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/zai-org/GLM-5
- SGLang
How to use zai-org/GLM-5 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "zai-org/GLM-5" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "zai-org/GLM-5", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "zai-org/GLM-5" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "zai-org/GLM-5", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use zai-org/GLM-5 with Docker Model Runner:
docker model run hf.co/zai-org/GLM-5
Add evaluation results for GPQA, HLE
#22
by SaylorTwift HF Staff - opened
- .eval_results/gpqa.yaml +8 -0
- .eval_results/hle.yaml +9 -0
- .eval_results/hle_with_tools.yaml +10 -0
.eval_results/gpqa.yaml
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- dataset:
|
| 2 |
+
id: Idavidrein/gpqa
|
| 3 |
+
task_id: diamond
|
| 4 |
+
value: 86.0
|
| 5 |
+
date: '2026-02-13'
|
| 6 |
+
source:
|
| 7 |
+
url: https://huggingface.co/zai-org/GLM-5
|
| 8 |
+
name: Model Card
|
.eval_results/hle.yaml
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- dataset:
|
| 2 |
+
id: cais/hle
|
| 3 |
+
task_id: hle
|
| 4 |
+
value: 30.5
|
| 5 |
+
date: '2026-02-13'
|
| 6 |
+
source:
|
| 7 |
+
url: https://huggingface.co/zai-org/GLM-5
|
| 8 |
+
name: Model Card
|
| 9 |
+
user: SaylorTwift
|
.eval_results/hle_with_tools.yaml
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
- dataset:
|
| 2 |
+
id: cais/hle
|
| 3 |
+
task_id: hle
|
| 4 |
+
value: 50.4
|
| 5 |
+
date: '2026-02-13'
|
| 6 |
+
source:
|
| 7 |
+
url: https://huggingface.co/zai-org/GLM-5
|
| 8 |
+
name: Model Card
|
| 9 |
+
user: SaylorTwift
|
| 10 |
+
notes: "With tools"
|