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Can this project run on non-Apple chips? My environment is NVIDIA's A800 because I saw that the mlx library used by the project is designed for Apple chips and systems.
I can get the moe model file after running the moe.py code, but problems occur when running inference.py and lora.py, such as when running the lora code:
`
python lora.py
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
Total parameters 16389.249M
Trainable parameters 10.487M
Starting training..., iters: 9000
Aborted
`
It stopped for no reason, I don’t know what the problem is.
The text was updated successfully, but these errors were encountered:
I don't think the MLX supports fine-tuning on CUDA. However, since you already have the MOE model which is compatible with Transformers, you can directly fine-tune it using the Hugging Face TRL library. FYI: https://huggingface.co/docs/trl/en/sft_trainer#quickstart
Can this project run on non-Apple chips? My environment is NVIDIA's A800 because I saw that the mlx library used by the project is designed for Apple chips and systems.
I can get the moe model file after running the moe.py code, but problems occur when running inference.py and lora.py, such as when running the lora code:
`
python lora.py
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
Total parameters 16389.249M
Trainable parameters 10.487M
Starting training..., iters: 9000
Aborted
`
It stopped for no reason, I don’t know what the problem is.
The text was updated successfully, but these errors were encountered: