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
- [Feature]: Support NVIDIA ModelOpt FP8 PTQ variants (FP8_PER_CHANNEL_PER_TOKEN / FP8_PB_WO) in vLLM
- [Feature]: The issue of being unable to achieve streaming output in function call inference
- [Performance]: Why Does Latency Remain Unchanged in vLLM 0.11.0 When Input Token Count Decreases for qwen3-vl-30b-a3b?
- [Bug]: GLM4-MoE AssertionError with --all2all-backend pplx (dtype mismatch)
- [Usage]: Qwen3-Next: Both Instruct and Thinking models don't support function calling
- [Bug]: vLLM fails to load mistralai/Mamba-Codestral-7B-v0.1 due to incorrect weight prefix assumption
- [Bug]: vllm.entrypoints.openai.api_server started but can't be access on wsl
- [Bugfix] Fix shape mismatch in sparse 2:4 bitmask decompression for vision models
- [Bug]: Ngram draft tokens diverge across TP ranks when using external_launcher.
- [WIP] Mimo v2 flash mtp
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