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][Reasoning] Handle multi-token streaming deltas in the Hunyuan A13B parser
- [Bugfix] Stop allocator fragmentation from shrinking the KV cache during memory profiling
- [UX] Memory Usage Debugging
- [ROCm][Kimi-K3] Make VLLM_ROCM_USE_AITER_MOE_SITUV2 select a4w4/a8w4/a16w4
- [Bugfix][Reasoning] Count Kimi K3 reasoning tokens
- [ROCm][DSv4][Perf] Use the shared prefill chunk plan in the ROCm sparse prefill
- [BugFix][Scheduler] Avoid Deadlocks in Skipped Waiting under KV Pressure
- [Spec Decode] Remove eager metadata rebuild during MTP fused multi-step decode
- [ROCm][DSv4.1][Perf] Use FlyDSL mfma_r4_w4 for gfx942 indexer prefill
- [Model Runner V2] Support randomized dummy inputs
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