vllm - 💡(How to fix) Fix [Usage]: Unable to get any qwen models running on RTX 5090 [1 participants]

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vllm-project/vllm#41695Fetched 2026-05-06 06:15:24
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Code Example

vllm serve Qwen3-Coder-30B-A3B-Instruct-FP8 \
  --host 0.0.0.0 \
  --port 8000 \
  --max-model-len 16384 \
  --dtype auto \
  --gpu-memory-utilization 0.95 \
  --served-model-name Qwen3-Coder-30B-A3B-Instruct-FP8 \
  --enable-auto-tool-choice \
  --tool-call-parser hermes \
  --reasoning-parser qwen3 \
  --language-model-only

---

[The output of `python collect_env.py`](failed: Connection timed out.)
RAW_BUFFERClick to expand / collapse

Your current environment

I've tried multiple models, ones I know work on my machine using other applications like ollama, or lmstudio:

  • Qwen/Qwen3-Coder-30B-A3B-Instruct-FP8
  • Qwen/Qwen3.5-35B-A3B (works fine with LM Studio lms load qwen/qwen3.5-35b-a3b --context-length 81920)
  • Qwen/Qwen3.6-27B-FP8

An example of serving a model:

vllm serve Qwen3-Coder-30B-A3B-Instruct-FP8 \
  --host 0.0.0.0 \
  --port 8000 \
  --max-model-len 16384 \
  --dtype auto \
  --gpu-memory-utilization 0.95 \
  --served-model-name Qwen3-Coder-30B-A3B-Instruct-FP8 \
  --enable-auto-tool-choice \
  --tool-call-parser hermes \
  --reasoning-parser qwen3 \
  --language-model-only

I will either get a OOM or a "No available memory for the cache blocks." no matter how much I lower the gpu memory (that causes issues with claude code and it's context).

At this point I'm just looking to the community for a working code model on the 5090, and possibly confirmation on working claude code cli usage. All 5090 issues seem to be made in December and since that's a long time in the industry I just decided to create an issue.

[The output of `python collect_env.py`](failed: Connection timed out.)

I would run collecting env normally but this is just a question for anyone else who has it running in a 5090.

How would you like to use vllm

Aboe

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  • Make sure you already searched for relevant issues, and asked the chatbot living at the bottom right corner of the documentation page, which can answer lots of frequently asked questions.

extent analysis

TL;DR

Try adjusting the --max-model-len and --gpu-memory-utilization parameters to optimize memory usage for the 5090 GPU.

Guidance

  • Verify that the --gpu-memory-utilization value is not too high, as this can cause out-of-memory issues; try reducing it to a lower value (e.g., 0.8) to see if it resolves the issue.
  • Experiment with different --max-model-len values to find a balance between model performance and memory usage.
  • Check the documentation for any specific recommendations on running vllm on the 5090 GPU.
  • Consider reaching out to the community or checking the documentation for working examples of claude code CLI usage on the 5090.

Notes

The issue may be related to the specific GPU model (5090) and its memory constraints, so solutions may vary depending on the hardware configuration.

Recommendation

Apply workaround: Adjust the --max-model-len and --gpu-memory-utilization parameters to optimize memory usage for the 5090 GPU, as this is a more targeted approach to resolving the issue.

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vllm - 💡(How to fix) Fix [Usage]: Unable to get any qwen models running on RTX 5090 [1 participants]