Instructions to use baby-dev/a4afa2f5-a62c-4fa4-b91d-b47ab4fd2b44 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baby-dev/a4afa2f5-a62c-4fa4-b91d-b47ab4fd2b44 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Intel/neural-chat-7b-v3-3") model = PeftModel.from_pretrained(base_model, "baby-dev/a4afa2f5-a62c-4fa4-b91d-b47ab4fd2b44") - Notebooks
- Google Colab
- Kaggle
a4afa2f5-a62c-4fa4-b91d-b47ab4fd2b44
This model is a fine-tuned version of Intel/neural-chat-7b-v3-3 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4193
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/a4afa2f5-a62c-4fa4-b91d-b47ab4fd2b44
Base model
mistralai/Mistral-7B-v0.1 Finetuned
Intel/neural-chat-7b-v3-1 Finetuned
Intel/neural-chat-7b-v3-3