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] [CI] Add new fusion test cases that are relevant to vLLM IR Ops
- [CI Failure]: Spawned tests can fail silently
- [Bugfix] Fix more multimodal tests for transformers V5
- [Bug]: Since version >=0.14.0, the key-value cache of heterogeneous graphics cards cannot be allocated correctly.
- [kv-cache, ct] Use compressed-tensors as a source of ground-truth for quant strategies
- [Bugfix] Fix Fp8OnlineMoEMethod crash when weights are on CPU
- fix: Prefer DeepGEMM over FlashInfer for FP8 MoE on Hopper GPUs
- [Attn,KV-cache] Use per-head scales in the attention selector
- [CI] Heavy refactoring of Voxtral multimodal audio model tests
- [Refactor] Pass Renderer to Input Processor
- Docs
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