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
- [Bugfix][Core] Fix negative prompt token counter increments with external KV cache accounting
- [ZenCPU] Changes with respect to docker build and relevant cpu tests
- [5/n] Migrate CUTLASS MLA, hadamard, awq, allspark and DSV3 fused a gemm to torch stable ABI
- Add opt-in `--record-power` option to `vllm bench serve`
- [torch.compile] Add compile-only mode
- [Renderer] Enforce token-only inputs for LLMEngine and AsyncLLM
- [Feature]: Sharded model loader doesn't support GCS
- Revert "[Bugfix][MLA] Change default SM100 MLA prefill backend back to TRT-LLM" (#38562)
- [Usage]: In the context of pp parallelism, UniformTypeKVCacheSpecs type, the calculation of page size considers all the layers, not only the layerss of one pp rank ?
- [Bug] API hangs/deadlocks when requesting logprobs on multi-node Ray deployment (PP=2, TP=8)
- Docs
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