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
- [Bug]: DSR1 NVFP4 DEP cannot run and it fails when _initialize_kv_caches
- [Bug]: Incorrect grid size in fused_moe_lora
- [Bug]: GLM-4.5-Air-NVFP4 models show unexpectedly low throughput under Pipeline Parallel in vLLM
- [Bug]: offline infer of mm model cache
- [Bug]: MiniMax M2 Tool Parser Incorrectly Converts Optional Parameters to null
- [Performance]: Issue in serving concurrent streams
- [Feature]: Support setting the default max_graph_size according to different platforms
- [Feature]: support for LlavaQwenForCausalLM
- [Performance]: why compressed-tensors only support sym quantization?
- [Bug]: Ray cluster(5 Node), Deploy DP=2, Creating too many placement groups
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