vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Bug]: AsyncLLM Qwen/Qwen3-Embedding got stuck in max_model_len >= 6100 (vllm==0.13.0)
- Update unquantized_fused_moe_method.py
- [Bug]: vLLM online serve ByteDance-Seed/BAGEL-7B-MoT model error
- [Feature]: Optimize the definition of the fake function in the code.
- Remove patched_fused_scaled_matmul_reduce_scatter torch is 2.9.1
- [Fix] Add SIGINT handler for openai
- [Performance]: If the next request is sent immediately after the previous one finishes, its TTFT will be relatively small; if the next request is sent 10 seconds after the previous one ends, its TTFT will be relatively large.
- [perf]skip embedding check if have computed
- [Bug]: After upgrade to 0.11.2, vllm crashs with Qwen3.
- [Installation]: cuda error when install from source
- Docs
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