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
- [Installation]: How to install vLLM 0.11.0 with CUDA < 12.9 (Driver 535)? No matching wheels found
- [Bug]: alueError: Call to add_lora method failed: Loading lora ["table_qc failed: No adapter found for /data/home/zhizhehui/dev/train/table_ocr/Reward_model_train/output/qwen_lora_output/checkpoint-57"]
- [RFC]: Enabling Zero-Copy Video with PyNvVideoCodec and IPC
- [Bug]: Deploying DeepSeek-V3.1-Terminus with vLLM v0.11.2, streaming requests that include tool calls suffer from a missing first token issue.
- [Bug]: GPT-OSS-120B NotImplementedError: FlashInfer backend currently does not support attention sinks
- [P/D] Add utility to slow down server for decode benchmarking
- [Bug]: vLLM 0.12.0 + LMCache outputs ERROR: PrometheusLogger instance already created with different metadata.
- fix benchmark moe int8_w8a16
- [Bug]:OOM during weight loading on H20 (141GB) in v0.13.0, but works in v0.12.0 (Qwen2.5-72B FP8)
- [Bug]: Stuck with a loop when tensor_parallel_size=2
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