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
- feat(parser): add xLAM tool parser to Rust frontend
- [ROCm][MLA] Guard sparse-MLA persistent-only path for gqa_ratio=64 fp8 (#49649)
- Add Gemma4 B200 FP8 optimized path
- [Kernel] FlashInfer CuTe-DSL NVFP4 Quantization
- [Bugfix] Reject unsupported forced tool choice in Responses API
- [Feature] Add /v1/responses/input_tokens endpoint for preflight token counting
- [Kernel][Core][Shared-PCP][Capacity] Owner-shard KV history for up to 4x capacity
- [Core][PCP][Output] Restore only sampled final rows after PCP prefill
- [RL][Reload] Preserve graph-visible runtime state across weight reloads
- fix: add TQFullAttentionSpec guard in v1 _reshape_kv_cache_tensors
- Docs
- Python not yet supported