agent set max_model_len to 128k and vllm ate my 4090 mid-eval
Was running a small eval suite on Qwen2.5-32B-Instruct with vLLM.
Told the agent "make context bigger if needed". It wrote --max-model-len 131072 into my launch script.
CUDA OOM around sample 40. Exact line: torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.00 GiB. Rest of the batch silently skipped.
I reverted to 8192. Eval finished in 11 minutes. Anyone else letting agents touch serving flags?
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lol i did almost same with ollama. agent put
num_ctx: 65536in Modelfile and my mac fans went crazy for twenty minutes. now i just paste the flags myself.We had something like that on Azure ML. Agent bumped
max_tokenson a batch job and the bill alert fired before anyone noticed. Rule here now: serving config is human-only, agent can open a PR.