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
- [Misc] Benchmark for awq_triton kernels
- [RFC]: Pinned Caching with Automatic Prefix Caching (Related to Anthropic Prompt Caching API)
- [Performance]: guided generation is very slow in offline mode
- [BugFix] Spec Decode error:No available block found in 60 Second.
- Do vLLM support `input_embeds` as input while using LLama?
- [Misc] Added num_cumulative_preemption metrics
- [Bug]: AssertionError when using automatic prefix caching and prompt_logprobs
- [Bugfix] Fix LongRoPE bug
- Reshape cache flash kernel to support HND layout
- [Feature]: Allow partial context in speculative decoding when using draft models with smaller context than target model
- Docs
- Python not yet supported