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
- [Bug]: GDN attention `mamba_get_block_table_tensor` torch.gather index out of bounds when prefix caching + num_speculative_tokens>=10 (DFlash, DGX Spark sm_121a, Qwen3.6 hybrid)
- [Bug]: SimpleCPUOffloadConnector + Hybrid KV Cache Manager: GPU block pool exhaustion (popleft_n assert) on second long-context request
- [New Model]: Add DebertaV2ForSequenceClassification (DeBERTa-v2/v3 cross-encoder / reranker)
- [Bugfix] Fix mismatched kernel-per-logical blocks in NIXL HMA transfer
- [Bug]: Batch chat completions drop Gemma 4 reasoning delimiters
- [Performance]: Remove duplicate cudagraph capture in elastic EP
- [RFC]: Disaggregated Speculative Decoding with Standalone Parallel Draft Model
- [Bugfix] Fix TRTLLM ragged MLA prefill workspace warmup
- [Bug]: FLASHINFER_CUTLASS_MXFP4_MXFP8 produces wrong output under expert parallelism
- [Bug]: LMCache external KV keys omit prompt_embeds content, allowing same-length embedding prompts to share stale KV
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