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]: Timeout Error When Deploying Llamafied InternLM2-5-7B-Chat-1M Model via vLLM OpenAI API Server
- [Bug]: When using qwen-32b-chat-awq with multi-threaded access, errors occur after approximately several hundred visits.”vllm.engine.async_llm_engine.AsyncEngineDeadError: Background loop has errored already.“
- torch.compile based model optimizer
- [Bug]: Problem loading Gemma 2 27b-it
- [Bug]: Gemma-2 + FlashInfer: ValueError: Unsupported max_frags_z:
- [RFC]: A Graph Optimization System in vLLM using torch.compile
- [Misc]: _run_workers_async function of DistributedGPUExecutorAsync
- [Bug]: Runtime AssertionError: 32768 is not divisible by 3, multiproc_worker_utils.py:120, when using 3 GPUs for tensor-parallel
- [Installation]: Running ohereForAI/c4ai-command-r-v01 with main pytorch
- [ Misc ] Support Act Order in Compressed Tensors
- Docs
- Python not yet supported