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
- [Bugfix] Fix FP8 block-scale dimension mismatch in fused linear weight loading
- [Bugfix] Fix GDN in_proj_ba crash with GPTQ/FP8 and TP > 1
- uniform batch tokens when uniform_batch_tokens is set
- bugfix(dcp, gdn): disabling DCP semantics for linear-attention KV/state groups
- [Build] Fix Dockerfile issues for ppc64le build
- [Model] Add AnyModel: generic support for NAS-optimized heterogeneous architectures
- [Bug Fix] Defer record_metadata_for_reloading to avoid ~3x host memory regression
- [Bugfix] Fix TypeError during AWQ Marlin MoE loading by unwrapping traced tuple
- Add GlmOcrConfig with fixes, E2E test, and generic config registry validation
- [CI] Add Blackwell DeepSeek MTP acceptance length regression test
- Docs
- Python not yet supported