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]: 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
- [Bug]: minimax_m2_tool_parser infers none-like strings as pythonic None
- [Bug]: Thinking token budget not enforced with MTP speculative decoding (works without MTP)
- [Bug]: glm4_moe_tool_parser._is_string_type crashes on /v1/responses streaming with 'FunctionTool' object has no attribute 'function' (affects GLM-4.5/4.7/5.1)
- [Bugfix] Specify enable_kv_cache_events to prevent falsely disabling HMA in VllmConfig
- [CI Failure]: Kernels FusedMoE Layer Test (2 B200s) has been broken since it was added on 04/06/25
- [Bug]: Can't instantiate a local model if importing torch_geometric
- test_fused_marlin_moe borderline tolerance failure at m=666, K=2048 on L4
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