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]: Structured output is not correctly enforced when using GPT-OSS
- [EPLB]: Add EPLB adaptor framework and model register
- [ROCm][torch.compile] Add aiter act/rms+mxfp4 per tensor quant fusion pass for Llama
- [Core][Feat] Add max-waiting-queue-length parameter to reject requests when waiting queue is full
- [Bugfix] Add SM 12.1 support + Fix GPT-OSS Harmony garbled reasoning and HarmonyError crashes
- PR Title: [Feature] EWSJF: Adaptive Scheduler for Mixed-Workloads (30-50% Throughput Gain)
- [RFC]: Returning Last Token, Last Layer Hidden States Through The OpenAI API
- [LoRA] Gemma3n LoRA support
- [Frontend] Add FP8 output quantization support to FlashAttention backend
- [Bugfix][chat_completion] ensure tokenizer eos_token_id is added to stop_token_ids
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