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
- [Kernel] Flush L2 cache in benchmark_moe to reduce cache warmth bias
- [Performance]: qwen3.5 vs qwen3
- [Bugfix] Fix causal_conv1d assertion crash during CUDA graph capture (#36566)
- [LoRA] Add support for PEFT trainable_tokens_delta weights
- [Bug]: KeyError in get_layers_from_vllm_config with pipeline parallelism (vLLM 0.16.0)
- TMA Support for Fully-Sharded LoRA MoE + Tuned Config Control
- Bridge pad_token_id from model config to tokenizer (#36429)
- [Bug]: Responses API streaming emits tool call XML as `response.output_text.delta` instead of `response.function_call_arguments.delta` for non-harmony models
- [Bugfix] Add regression test for allreduce RMS fusion with PP
- [Bug]: vllm 0.17.0 部署 Qwen3.5 397b-fp8版本运行过程中异常崩溃(vllm 0.17.0 crashed unexpectedly during deployment of Qwen3.5 397b-fp8 version.)
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