Instructions to use baby-dev/30d7e1fd-e52f-4837-b16f-414b2f68b131 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baby-dev/30d7e1fd-e52f-4837-b16f-414b2f68b131 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("furiosa-ai/mlperf-gpt-j-6b") model = PeftModel.from_pretrained(base_model, "baby-dev/30d7e1fd-e52f-4837-b16f-414b2f68b131") - Notebooks
- Google Colab
- Kaggle
30d7e1fd-e52f-4837-b16f-414b2f68b131
This model is a fine-tuned version of furiosa-ai/mlperf-gpt-j-6b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1374
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Model tree for baby-dev/30d7e1fd-e52f-4837-b16f-414b2f68b131
Base model
furiosa-ai-dev/mlperf-gpt-j-6b