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
- Idefics3/SmolVLM: num_patches=0 for non-tiled images mis-sizes pixel_values while the prompt still reserves image_seq_len placeholder tokens
- [V1][Metrics] Preserve prefix-cache stats on zero-output steps
- [Misc] Remove `override_attention_dtype`
- [Doc][Benchmarks] Fix type hints and argparse help texts
- [Bug]: vLLM 0.25.0 crashed
- [Bugfix][ROCm] Only run FP8 AITER MLA prefill when using FP8 KV
- [Perf][Kernel] Fused DSA indexer Top-k kernel (LiteTopk)
- [ROCm][Perf] Use AITER tgemm for DeepSeek V4 compressors
- [ROCm][Perf][DeepSeek V4] Enable heterogeneous MXFP4/FP8 fused shared expert
- [Perf] Improve `--linear-backend` filtering
- Docs
- Python not yet supported