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]: crash:RecursionError: maximum recursion depth exceeded
- [Bug]: Broken outputs for large contexts if `max_model_len` is fixed.
- [New Model]: Pangea-7B: A Fully Open Multilingual Multimodal LLM for 39 Languages
- [Bug]: KeyError: 'layers.0.self_attn.qkv_proj.weight'
- [Feature]: Support for 1.58-bit models.
- [Bug]: Incomplete XML Output for Certain Prompts with Temperature=0
- [Performance]: vllm Eagle performance is worse than expected
- [Bug]: The driver_worker gets stuck 100% of the time, when using Medusa with TP > 1
- [Usage]: OpenAI-Compatible Server online Batch inference
- [Performance]: The performance of version 0.6.3 is weaker than that of version 0.6.2 in stress testing.
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- Python not yet supported