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)
- [Speculators][Speculative Decoding] Fix Kimi K2 Eagle3 Support
- 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
- [2/n] Migrate kernels to libtorch stable ABI
- [Fix] Add SIGINT handler for openai
- [Bug]: Qwen3-VL-8B-Instruct has accuracy issue - Multi modal accuracy issue
- [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.
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