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
- [Feature]: Remove embedding initialization in cases where embedding is not needed in gpu_model_runner init
- Allow _dummy_run to use _model_forward for hardware backends with compiled execution
- [Feature]: Infrastructure Improvements for ROCm CI
- [Core]Optimize SlidingWindowManager.find_longest_cache_hit by skipping positions on cache miss
- [GGUF] Fix loading of fused/shard-less quantized weights
- [Bug]: FlashInfer attn-fp4 fused kernel performs worse than unfused
- [CI] GDN attention backend assertion failure with MTP speculative decoding
- [Deprecation] Remove old locations of `get_tokenizer` and `resolve_hf_chat_template`
- Fix: Add shard validation for quantized models to prevent silent failures
- Add env variable VLLM_DISABLE_FLASHINFER_CONCAT_MLA_K to disable FlashInfer concat_mla_k
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- Python not yet supported