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
- suppport pcp & dcp
- [Hybrid] Remove use of PAD_SLOT_ID for causal_conv_1d
- [ROCm][FEAT] Support Decode Context Parallelism for ROCM_AITER_FA Backend
- [Bug]: MemoryError throw by transformers_utils.utils module's parse_safetensors_file_metadata function when loading some gptq or awq quantization models since vllm 0.11.1
- [llama4_eagle] add lm_head attribute to model class
- [Feature]: Support qwen3next with GGUF?
- [RFC]: Sharded Context Parallelism for Deepseek DSA
- [Bug]: Harmony parser skips last tokens in speculative decoding in streaming responses
- [Feature]: Automatically infer Qwen3 reranker settings (remove need for hf_overrides)
- [Bug]: Ministral-3-14B-Instruct-2512 C++ Compilation Error with Torch Inductor and Batch Generation Failure with enforce_eager=False
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- Python not yet supported