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
- [Bug]: GLM-4.7-Flash does not return tool_calls field in vLLM 0.16.0 even with --tool-call-parser glm47
- [Bug]: Qwen3-Coder-Next-FP8 start error wifh tp=8 on H100
- [Perf] recreate torch profiler wrapper for each new profiling session to avoid slow starts
- [Bug]: ROCm: tries to allocate 192GB VRAM for Qwen3.5 0.8B
- [Bug]: CUDA illegal memory access on GPTQ Marlin
- [Bug]: No sm_121 (Blackwell) support on aarch64 — NVIDIA DGX Spark / Acer GN100
- [Bugfix] Clear error message for FP8 torchao quantization on unsupported GPUs
- [ROCm] Fix AITER sparse MLA crash for num_heads < 16 (e.g. GLM-5 TP=8)
- Move test dependencies from inline installs to Docker image
- Revert "Fix `hf_override_fn` when it modifies `model_type`" (#35200)
- Docs
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