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
- Add AEO quality badge to README (score: 50/100)
- [XPU] upgrade to triton-xpu 3.7.0
- [Bug]: vLLM docker container with Qwen3.5 - Connection error
- [Performance]: Qwen/Qwen3.5-35B-A3B-FP8 has a 8.5x perf reggression when using FA3 backend on a Hopper backend
- [Core] Label torch trace logging overhead with dynamo_timed
- [Bug]: [CPU] AttributeError: '_OpNamespace' '_C' object has no attribute 'gelu_tanh_and_mul'
- [Bug]: `prefix_caching_hash_algo='xxhash'` without `xxhash` installed cause `generate()` returns outputs with empty content, no exception
- [Bug]: `attention_backend='FLASH_ATTN_DIFFKV'` crashes init on standard models with "too many values to unpack"
- [Bug]: `block_size=8` triggers Triton CompilationError in FlexAttention kernel; other backends correctly reject
- [Bug]: `max_num_batched_tokens=1` raises unhandled `IndexError`
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