Related Issues (20)
- [Bug]: CPU Docker build quickstart `static library kineto_LIBRARY-NOTFOUND not found` HOT 1
- [Bug]: Ray on multi machine cluster fails to detect all nodes.
- [Usage]: How to serve fine-tuned torchtune model with vllm HOT 1
- 8x22b tokens-per-second slower than expected HOT 2
- [RFC]: Inline Golden (Expected) Tests HOT 4
- [Usage]: Unable to use vLLM for serving fine tuned mistral model
- [Bug]: Unable to use vLLM for serving fine tuned mistral model HOT 1
- [Feature]: Support kv-cache-dtype fp8 without nvcc HOT 4
- openai.BadRequestError: Error code: 400 - {'object': 'error', 'message': 'max_tokens must be at least 1, got -186.', 'type': 'BadRequestError', 'param': None, 'code': 400} HOT 1
- [Feature]: Support for a draft model that takes inputs from base model (to support Medusa/EAGLE/Hydra) HOT 1
- [Usage]: prefix-caching HOT 1
- [New Model]: nvidia/Llama3-ChatQA-1.5-8B eliminating special tokens in model output HOT 1
- [Feature]: vAttention
- [Bug]: i cant't use vllm lora with 2gpus, but 1 gpu is ok HOT 1
- [Feature]: support lora such as qwen-7b and qwen1.5 HOT 1
- [Usage]: Out of Memory w/ multiple models HOT 1
- [Feature]: support for aixcoder HOT 2
- [Bug]: assert parts[0] == "base_model" AssertionError HOT 5
- [Usage]: Get time statistics with each request HOT 2
- [Doc]: API reference for LLM class HOT 2
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