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
- [Feature]: The inference accelation for quantized qwen2.5vl
- [Bug]: TTFT of 1p1d using NIXLConnector is twice that of tp1
- [Bug]: vllm deploy deepseek-v3 bug on attributeerror: '_OpNameSpace' '_moe_C' object has no attribute 'moe_align_block_size'
- [Bug]: vLLM crashes when using --enable-sleep-mode with Blackwell PRO 6000 GPUs
- [Performance]: How to improve TTFT for subsequent short-text requests when the system has just handled a long-text prompt?
- [RFC]: Support KV Cache sparse with common framework
- [Feature]: [V1][DCA] Support DCA in V1
- [V1] Enhanced Exception Handling for KV Cache Loading from Remote Store
- [Feature]: serve gpt-oss BF16 weights
- [Bug]: Voxtral-Small-24B-2507 Does Not Support Pipeline-Parallel
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