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
- [TurboQuant] Use MSE quantization for values
- [Hardware][AMD] Improve error handling for unavailable NIXL backends
- [Bug]: Performance drop when using multiple VLLM on different numa nodes --> bugs in ompmultiprocessing.py
- [Bugfix][compressed-tensors] Wrap `is_static_input_scheme` with `bool()` for `input_quant=None` schemes
- [Kernel] Fused Triton kernel for topk-weighted MoE output reduction
- [CI/Build] Bump flashinfer to v0.6.11.post3
- [CI] De-flake v1/tracing/test_traces by forcing spawn
- [Bugfix][DSV4] attention: fall back to `weight_scale` when `weight_scale_inv` absent
- config: fix Tarsier2 compatibility with Transformers v5
- [Bugfix] Fix DeepSeek V3 byte-level tokenizer override
- Docs
- Python not yet supported