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
- [Bugfix] Couple audio+video in mm processor cache for use_audio_in_video (fixes #44538)
- [ROCm][MLA] AITER FP8 ASM prefill backend
- [Feature] Add fault tolerance framework (simplified) for DP+EP external LB deployments
- [Refactor] RDNA3 W4A16 MoE dispatch to oracle/expert class pattern
- [Bugfix] RayExecutorV2: Defer `vllm_config` deserialization until after `CUDA_VISIBLE_DEVICES` is set
- [Feature][Frontend] Add prefix cache hit rate to usage details
- [Bugfix][Spec-Decode][MLA] Fix CUDA graph capture assertion and missing draft seq_lens_cpu_upper_bound for EAGLE on SINGLE_ONLY MLA backends
- fix: logprobs values change with requested count due to token-string collision
- [Frontend] Consolidate scale out entrypoints
- [XPU] Add online fp8 quantization test
- Docs
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