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][LoRA] Account for CLIP CLS rows in LLaVA tower mappings
- [Bug]: fused_recurrent_gated_delta_rule allocates final_state for one sequence but writes it for the whole batch, resulting in out-of-bounds writes
- [Bug]: Scheduler livelock with multi-module MTP + Mamba align prefix caching when prompt_len % block_size < num_speculative_tokens
- [Observability] Add tool-calling telemetry to HTTP render endpoints
- [Bugfix] Retry multimodal cache misses in common endpoints
- [RFC]: Bring-Your-Own-GPU (BYOG) reproducible evals and benchmarks for PRs
- [Bugfix][ROCm] Fix DSA MoE skip_final_all_reduce assert with MoRI/DeepEP at TP=1
- [Feat][Stacked] Add bidirectional single-forward reads for Nemotron fine-tunes
- Fix non-deterministic greedy decoding across repeated generate() calls
- [ROCm][BugFix][FP8] Pad weights and inputs to fix TP8 crash in ROCmFP8ScaledMMLinearKernel
- Docs
- Python not yet supported