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 Support for GPTQ Fused MOE
- [Bug]: AttributeError: '_OpNamespace' '_C' object has no attribute 'rotary_embedding' / gemma-2-9b with vllm=0.5.2
- [CI/Build] Update flashinfer to v0.0.9 (#6489)
- [Bug]: failed when run Qwen2-54B-A14B-GPTQ-Int4(MOE)
- unable to run vllm model deployment
- [Bug]: illegal memory access when increase max_model_length on FP8 models
- [Bug]: TypeError: 'NoneType' object is not callable when start Gemma2-27b-it
- [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