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][Kernel] Fix int32 overflow in LoRA do_expand_kernel and do_shrink_kernel
- [Bugfix] Fix socket utilities for IPv6 dual-stack support
- Test mi300
- [Feature]: Support per-layer sliding window attention for Qwen3
- [Bug] flash_attn _get_sliding_window_configs asserts FlashAttentionImpl over all attention layers, breaks any non-FA backend
- [Tracking] NIXL >= 1.0.0 Support for NIXL KV Connector
- [Doc]:
- [Bug]: gpt-oss-20b unquantized model outputting gibberish with non-triton backends (built from main)
- Revert "[PluggableLayer][3/N] Apply PluggableLayer to llm_head and vocab embedding layer" (#33465)
- [Model] Add GGUF support for Qwen 3.5 dense and MoE models
- Docs
- Python not yet supported