Related Issues (20)
- inference Llama-2-13b-chat with W4A16, the latency of next token with 1k input is slower than 2k input HOT 2
- RecursionError at get_peft_model when using lora/qlora HOT 2
- gpt-j: NameError: name 'ipex' is not defined HOT 1
- Inference on GPU Error - [RuntimeError: Native API failed. Native API returns: -5 (PI_ERROR_OUT_OF_RESOURCES) -5 (PI_ERROR_OUT_OF_RESOURCES)] HOT 3
- LangChain-Chatchat shows RuntimeError: could not create a primitive HOT 9
- starcoder2-3B model for reset token latency
- Converting mistralai/Mistral-7B-Instruct-v0.2 to lower 4 bit running into error HOT 1
- ModuleNotFoundError: No module named 'transformers_modules.Qwen-7B-Chat-Int4' HOT 7
- there is no output for inference of Qwen-7B-chat with FP8 weight-only based all-in-one HOT 3
- [Langchain-Chatchat]Add time consumption msg about first token and rest tokens HOT 1
- Flex 170 x8 is failing when targeting 6 or 8 GPUs--resolved HOT 12
- TypeError:invalidInputError() missing 1 required positional argument: 'errMsg' with vllm-serving. HOT 1
- Self Speculative Decoding at lower precisions? HOT 4
- Mistral hack in vLLM no longer needed
- Heavy CPU bottleneck when working with Intel ARC A770 16GB GPU Inference HOT 7
- Benchmarking Chatglm3-6B on Xeon SPR: Forward() expected at most 5 arguments but received 6 HOT 1
- starcoder2 optimization results HOT 1
- Strange CPU performance curve when I use Chatglm3 to infer sentence inputs with tens of thousands of tokens HOT 2
- The current vLLM docker image can't support the Qwen 1.5 7B model because of transformer version HOT 2
- provide support for model serving using FastAPI deepspeed+ipex-llm HOT 2
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