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
- [ROCm][feature] Add new moe backends supporting int4/int8 weight-only…
- [Bug]: Failed: Cuda error /workspace/csrc/custom_all_reduce.cuh:455 'invalid argument'
- [Docs] quantized_kvcache: add measured performance section, replace deprecated gated example model
- [Bugfix][MiniMax-M3] Avoid NaNs for empty sparse decode rows
- [Bugfix][Model] Remove redundant all_gather_interleave in ViT split_qkv
- [Bugfix] Forward FlashInfer skip ops to sparse MLA warmup
- [Feature] Add IndexCache support for DeepSeek V4 on Hopper
- [Bug]: PRIORITY scheduling can silently skip a running request for a full step when the preemption victim was already deferred earlier in the same schedule() call
- [Doc] Document SimpleCPUOffloadConnector in the KV offloading guide
- [Bug]: `all_gather_interleave()` in PaddleOCR-VL/Ernie4.5-VL/GLM-4.1V bypasses vLLM's collective API and crashes with "No backend type associated with device type" on out-of-tree platforms
- Docs
- Python not yet supported