Can I run Qwen2.5-Coder-7B-Instruct on a NVIDIA H200?

Yes.Runs

You can run this comfortably. On a NVIDIA H200 (141 GB VRAM), Qwen2.5-Coder-7B-Instruct needs about 19 GB (FP16) and should generate at roughly ~150 tok/s. Recommended: Run on your GPU with FP16.

Qwen/Qwen2.5-Coder-7B-Instruct

Why

At full precision this model needs ~19 GB, which fits your GPU VRAM.

How to run Qwen2.5-Coder-7B-Instruct on a H200

Serve with vLLM (OpenAI-compatible API)

# Fast production serving on http://localhost:8000/v1
vllm serve Qwen/Qwen2.5-Coder-7B-Instruct

Python (Transformers)

from transformers import pipeline
pipe = pipeline("text-generation", model="Qwen/Qwen2.5-Coder-7B-Instruct", device_map="auto")
print(pipe("Hello", max_new_tokens=50))

Try the full analyzer

Qwen2.5-Coder-7B-Instruct on other GPUs

RTX 509032 GB VRAM RTX 508016 GB VRAM RTX 5070 Ti16 GB VRAM RTX 507012 GB VRAM RTX 409024 GB VRAM RTX 4080 Super16 GB VRAM

Other models on a H200

Qwen2.5-0.5Bon H200 GPT-2on H200 Phi-3-minion H200 Mistral-7Bon H200 Llama-3.1-8Bon H200 Gemma-2-9Bon H200