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
- [Fusion] Apply manual activation+quant fusion to Granite and EXAONE 4.0
- [Bugfix] Reject padding when the tokenizer has no pad token
- [Refactor][MoE] Migrate Quark static INT8 to the MoE oracle
- [Bug]: `--hf-overrides '{"rope_scaling": ...}'` drops `rope_theta` under Transformers v5; models without a per-file default silently run with base 10000
- [Bugfix] Preserve RoPE base parameters in rope_scaling overrides
- [Bugfix][DeepGEMM] Restore SM12x alignment behavior for grouped GEMMs
- [CLI] Add configurable help views
- [Bugfix] Return bound ephemeral port when VLLM_PORT is zero
- [CPU] Enable WNA16 int4 GEMM on AVX2-only x86 CPUs
- [ROCm][Perf] Skip the seq_lens D2H sync in the AITER sparse MLA metadata key
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