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][Quantization] Fix PerTensorScale loading with tuple shard_id in MergedColumnParallelLinear
- [Misc][Logger][DP] Enable AggregatedLoggingStatLogger when user specifing aggregate_engine_logging
- [Bug]: Qwen3.5-35B-A3B-FP8 model outputs all exclamation points
- fix: vgpu segfault before nccl init
- [Benchmark] Fix poem dataset sampling infinite loop when input_len is too small
- [Feature]: Support direct binary/multipart file upload for video and image in OpenAI-compatible API
- fix/TokenizerRepeatedInitialization
- [Bugfix] Fix glm4_moe_tool_parser for tools in the responses API format
- [Bugfix] Skip multimodal processor cache in /tokenize to prevent stale SenderCache entries
- [Bug]: AssertionError: Encoder cache miss crashes engine with MTP + multimodal under high concurrency
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- Python not yet supported