Instructions to use havinash-ai/70cefcaa-2fdf-4d92-a564-158b19100bd6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/70cefcaa-2fdf-4d92-a564-158b19100bd6 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, "havinash-ai/70cefcaa-2fdf-4d92-a564-158b19100bd6") - Notebooks
- Google Colab
- Kaggle
root/workspace/outputs/9/70cefcaa-2fdf-4d92-a564-158b19100bd6
This model is a fine-tuned version of furiosa-ai/mlperf-gpt-j-6b on the /root/workspace/input_data/183a8ff79871f445_train_data.json dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Framework versions
- PEFT 0.14.0
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for havinash-ai/70cefcaa-2fdf-4d92-a564-158b19100bd6
Base model
furiosa-ai-dev/mlperf-gpt-j-6b