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
Commit ·
73b81c6
1
Parent(s): fafc0ac
Add Terminal-Bench 2.0 evaluation result (52.4%) (#64)
Browse files- Add Terminal-Bench 2.0 evaluation result (52.4%) (b84617d98a3b5b336983de136a971072ceea0929)
Co-authored-by: Nathan Habib <SaylorTwift@users.noreply.huggingface.co>
.eval_results/terminal_bench_2.yaml
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- dataset:
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id: harborframework/terminal-bench-2.0
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task_id: terminalbench_2
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value: 52.4
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date: '2026-02-23'
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source:
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url: https://www.tbench.ai/leaderboard/terminal-bench/2.0
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name: Terminal-Bench Leaderboard
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user: SaylorTwift
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notes: "agent: Terminus 2"
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