Comments (1)
Could you please share the prompt and resulting generated text? Due to our custom CUDA kernels, we cannot ensure exact matching outputs with the baseline model, however the outputs should be the same in quality.
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Related Issues (20)
- How to get the logit tensor of generated text? HOT 4
- pydantic.errors.PydanticUserError HOT 1
- Mistral 8*7B Out of memory HOT 1
- deep speed parallel erro HOT 1
- Error: "Only able to place X replicas, but Y replicas were requested" HOT 1
- RuntimeError: The server socket has failed to listen on any local network address. The server socket has failed to bind to [::]:29700 (errno: 98 - Address already in use). HOT 1
- `ValueError: channels must be divisible by 8` when new special tokens are added HOT 3
- import mii not working HOT 5
- How to eliminate deadlock problem? HOT 1
- support for mixtral family ? HOT 9
- did "mii.pipeline" support float16? HOT 3
- Unable to run inference on free tier Colab. HOT 4
- Benchmark:Performance is lower than vllm HOT 1
- Support for repetition penalty during inference with sampling HOT 1
- ModuleNotFoundError: No module named 'mii' HOT 2
- result is empty
- RuntimeError: server crashed for some reason, unable to proceed HOT 2
- TypeError: expected Tensor as element 0 in argument 0, but got bool HOT 1
- How to generate multiple responses in one time? HOT 1
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