Instructions to use baby-dev/31b18def-4ff0-410c-aac0-b83a8676a9a3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baby-dev/31b18def-4ff0-410c-aac0-b83a8676a9a3 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/31b18def-4ff0-410c-aac0-b83a8676a9a3") - Notebooks
- Google Colab
- Kaggle
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Download README.md from baby-dev/31b18def-4ff0-410c-aac0-b83a8676a9a3: direct link, hf CLI and curl.
- Browser
- Download file 1.12 kB
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https://huggingface.co/baby-dev/31b18def-4ff0-410c-aac0-b83a8676a9a3/resolve/main/README.md
- Command line
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hf download hf://baby-dev/31b18def-4ff0-410c-aac0-b83a8676a9a3/README.md
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curl -L -o README.md https://huggingface.co/baby-dev/31b18def-4ff0-410c-aac0-b83a8676a9a3/resolve/main/README.md
1.12 kB
metadata
library_name: peft
license: apache-2.0
base_model: Intel/neural-chat-7b-v3-3
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 31b18def-4ff0-410c-aac0-b83a8676a9a3
results: []
31b18def-4ff0-410c-aac0-b83a8676a9a3
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: 0.0427
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