Comments (4)
@fxmarty This server has 8xA100 80 GB GPU and 1 TB of main RAM
from optimum.
Thank you @rosario-purple, will have a look into it. Maybe could you share the GPU you are using, and how much RAM you have? cc @SunMarc if you have an idea.
from optimum.
Hi @rosario-purple , i've opened a PR that should solve this issue. This hard freeze is due to the processing taking too much time (mixtral tokenizer is not fast enough when tokenizing the whole wikitext2 dataset)
from optimum.
@SunMarc Thank you!
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Related Issues (20)
- Support bitsandbytes export to ONNX HOT 7
- model.ByteSize() is negative when converting microsoft/phi2 model HOT 3
- Converted LayoutLM ONNX model - Required input `bbox` missing from input feed `['input_ids', 'attention_mask', 'token_type_ids']` HOT 3
- Xenova mbart-large-50-many-to-many-mmt conversion is not translating. HOT 2
- Clarity on the convert.py for a model to ONNX.py.. documentation issue HOT 2
- TextStreamer not supported for ORTCausalLM? HOT 1
- Whisper-v3 ValueError: Transformers now supports natively BetterTransformer optimizations
- Bitsandbytes integration in ORTModelForCausalLM.from_pretrained()
- the onnx in optimum can not accelerate the speed of batch feature extraction. HOT 3
- task text-classification to be supported in the ONNX export for bart HOT 2
- Assistant model in generate method
- GPTQQuantizer hard coded the device to 0 HOT 2
- ONNX support for Mixtral text-classification HOT 3
- export `audio-classification` model based on OpenAI whisper model to other formats HOT 1
- KeyError: 'last_hidden_state' HOT 1
- Non-pinned Transformers Version Incompatability HOT 2
- ORTStableDiffusionXLPipeline sdxl onnx fp16 unet load error
- ORTModelForCausalLM inference fails (after converting transformer to ONNX) HOT 4
- optimum-cli export neuron failed for 'meta-llama/Llama-2-13b-hf' HOT 2
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