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
- [RFC]: Add Peak Split & Tail Optimization Strategy
- [Docker Hub]: missing TPU docker images v.0.11.2 and v.0.12.0
- [RFC]: Sharded Context Parallelism for Deepseek DSA
- [Bug]: MPT loading fails with AttributeError: 'dict' object has no attribute 'clip_qkv' and missing 'num_attention_heads'
- [RFC]: Add Buffered Response Scheduling Policy
- [Bug]: Multiple dispatch failed for 'torch._ops.aten.permute.default' with Inductor freezing.
- [Bug]: Speculative decoding support for mamba models
- [Bug]: Repeated, wrong results of FP8-Dynamic Llava-OneVision regardless input images
- [Bug]: Harmony parser skips last tokens in speculative decoding in streaming responses
- [Usage]: How to disable reasoning for gpt-oss-120b
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