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
- [Usage]: Online continuous batching
- [Feature]: Allow custom prompts for Random-MM with vllm bench serve
- [Usage]: Can't get ModernBert models to run in vllm serve
- [Installation]: UV_HTTP_TIMEOUT cannot install vllm with uv
- [Usage]: pd disagg scenario , I discover in the decoder , also has the prefill operation, is it normal ?
- [wip] fuse rope fp8 through mla_rope_quantize_fp8
- Qwen3-VL-8B-Instruct-FP8 fails with GLIBC_2.32 not found in FlashAttention (works fine with Qwen3-VL-4B-Instruct)
- [Bug]: Can we able to benchmark Quantized MOE models Either W8A8 or W8A16 ?
- [Usage]: TPOT per request information was not collected by vllm bench serve
- [Bug]: TorchRuntimeError: Dynamo failed to run FX node with fake tensors: call_function aten.index(...): got RuntimeError('unknown table encoding')
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