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][Spec Decode] Handle out-of-range IDs in heterogeneous vocab mapping
- [Doc] Link original Prompt Lookup Decoding repo in n-gram spec decode docs
- [Perf][FlashInfer] Reuse a persistent trtllm-gen multi-CTA-KV counter buffer for MHA
- [RFC]: Software-dequant fp8 KV cache for MLA on Ampere (sm80/sm86) — consolidate the existing pieces, a 1M-ctx field case, and a validation offer
- [Kernel] Allow steering the unquantized linear backend independently
- [ROCm][Kimi-K3] bf16 router GEMM and fused MLA output gate
- Hidden-state extraction for GLM-5.3-Flash
- [Bugfix][Benchmark] Fix bench serve result serialization
- [MM][Model] Apply HF Pixtral RoPE in attention layout
- [ROCm][Perf] Fold Q fp8 quantization into QkNormRopeKvCacheFusionPass
- Docs
- Python not yet supported