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
- Mamba-2 Triton kernels crash with illegal instruction on SM121 (DGX Spark) without CUDA_LAUNCH_BLOCKING=1
- [Usage]: How to use the vLLM framework to perform inference testing with Prefill-Decode (PD) Separation for the DeepSeek-R1 NVFP4 model across multiple GB300 server nodes (N Prefill nodes + M Decode nodes)?
- [Bug]: GPT OSS 120B performance regression with Triton 3.6
- [Perf] Use list.extend() over append loops in FlatLogprobs + minor hot-path cleanups
- [Bugfix] Fix incorrect int8 dtype cast for kv_c_normed in MLA prefill
- [Bug]: Failed to run distributed inference due to error list index out of range in omp_cpuids_list
- [Bug]: KeyError when use lmcache layerwise mode in vllm 0.14.0
- [ROCm] Enable MXFP4 LoRA support on MI355X and add CDNA4 device IDs
- [Bugfix] Migrate to python3 -m build from legacy setup.py in Dockerfile.nightly_torch
- [Bug]: Language Models Test (Extended Generation) test_models[False-False-5-32-bigcode/starcoder2-3b] test issue
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