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
- [model] Add M2M100ForConditionalGeneration to OOT supported models
- [New Model]: Support for microsoft/VibeVoice-ASR
- [XPU] Add XPU block-scaled W8A8 fp8 path
- [cpu] update branch for llguidance for s390x
- [Feat][KVConnector] Refresh CPU LRU cache for eager offloading
- [Tests][Transformers v5] Skip InternVL2 HF-runner tests incompatible with meta device init
- [Bug]: In case chunked prefill is enabled and max-num-batched-tokens > max-model-length the server does not start up and fails
- [Bugfix] Fix turboquant FP8 cast failure for BF16 models on Ampere GPUs
- [Feature]: Priority scheduling supports preemption of requests in the running queue by requests in the waiting queue
- [Bug]: cudaErrorIllegalAddress during PIECEWISE CUDA graph replay with MoE LoRA: stale buffer addresses in `moe_lora_align_block_size`
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