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] Fix CompressedTensors MoE g_idx registration when actorder is null
- [Bugfix] Fix tool call arguments parsed as content/reasoning in harmony streaming
- [Responses] Normalize OpenResponses input items to match openai-python SDK requirements
- Fix kv_cache_dtype auto resolution for ModelOpt kv_cache_quant_algo
- [Bug]: No available shared memory broadcast block found in 60 seconds. This typically happens when some processes are hanging or doing some time-consuming work (e.g. compilation, weight/kv cache quantization)
- [Perf][DeepSeek-V3] Dynamic MLA/MHA Routing for Sub-1024 Token Prefill (~3x TTFT Speedup)
- feat(responses): add WebSocket mode for Responses API
- Grpc renderer
- [Performance]: MTP causes 76% latency regression on Qwen3-Next-80B-A3B-Instruct-FP8
- [speculative decoding] Add dynamic speculation length with confidence-threshold early exit
- Docs
- Python not yet supported