Instructions to use baby-dev/09f120d0-29fe-4b21-b18c-e86bf89ec32c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baby-dev/09f120d0-29fe-4b21-b18c-e86bf89ec32c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-13b-hf-flash") model = PeftModel.from_pretrained(base_model, "baby-dev/09f120d0-29fe-4b21-b18c-e86bf89ec32c") - Notebooks
- Google Colab
- Kaggle
09f120d0-29fe-4b21-b18c-e86bf89ec32c
This model is a fine-tuned version of NousResearch/CodeLlama-13b-hf-flash on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1882
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
- Downloads last month
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Model tree for baby-dev/09f120d0-29fe-4b21-b18c-e86bf89ec32c
Base model
NousResearch/CodeLlama-13b-hf-flash