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
- WIP: b12x updates
- Workaround to make examples/features/lora/multilora_offline.py running through
- [Core][CI/Build] Make outlines disk cache optional
- WIP: Add opt-in BF16 linear compile path
- [Kernel] Add H20-3e FP8 block-scaled GEMM tuned configs for DeepSeek-V4-Flash expert shapes
- [Core] Make encoder budget args configurable via CLI
- [Bug]: KeyError: 'layers.0.mlp.experts.w13_bias' when running quantized model on vLLM
- [Bug]: [GLM-5.1] [MTP] DeepGEMM context_lens.is_contiguous assertion in paged MQA metadata
- [Bug]: V1 engine + MTP + GLM-5.1 (DSA + MoE + MLA) — workers hang under sustained traffic, sample_tokens RPC timeout, EngineDeadError
- [Bug]: --quantization fp8 fails on Qwen3.5 hybrid (qwen3_next gated delta net) with cutlass_scaled_mm Error Internal on GB10 sm_121
- Docs
- Python not yet supported