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
- External speculators (DSpark Qwen3 draft, DFlash2) crash with kv_cache_dtype=nvfp4_ds_mla on GLM-5.3 NVFP4: draft-model code assumes split k/v
- Handle TorchCodec native library load failures
- [Frontend] mv run_rust_frontend to launchers.
- [Core] Make the V2 sampler allowed_token_ids and logit_bias caps env-tunable
- [Feature]: Support per-parameter meshes in NCCL M2N weight transfer
- [Bugfix][Reasoning] Fix Kimi K3 response-only transitions
- [MRV2][Perf] Screened lm_head
- [Bugfix] Warm GLM DeepGEMM mHC pre-norm specializations
- [Bugfix][MoE] Reuse the FlashInfer CUTLASS MoE workspace across layers
- [feat] vllm framework for tpsp performance optimization
- Docs
- Python not yet supported