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] Separate target and draft scheduling budgets
- [Perf][MoE] Share FlashInfer B12x MoE workspaces across layers
- [Core] Make sleep a pure memory-state transition
- [Perf][Spec Decode] Fuse target temperature in rejection sampler
- [Parser] Move structural-tag capabilities into parser engines
- [Bugfix][Spec Decode] Fix eagle draft sharing with a quantized lm_head
- [Bug]: bare assert in BasevLLMParameter._assert_and_load gives no diagnostics on weight shape mismatch
- [Bug]: LinearBase.load_weights substitutes the module for a missing parameter, surfacing as a confusing AttributeError
- [Kernel] Support head_dim=512 in fused QK-norm+RoPE (enables Gemma4)
- fix: surface clear error for missing parameters in LinearBase weight loader
- Docs
- Python not yet supported