Instructions to use baby-dev/556f9c39-9d2f-4828-8665-f7613b628a13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baby-dev/556f9c39-9d2f-4828-8665-f7613b628a13 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "baby-dev/556f9c39-9d2f-4828-8665-f7613b628a13") - Notebooks
- Google Colab
- Kaggle
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Download README.md from baby-dev/556f9c39-9d2f-4828-8665-f7613b628a13: direct link, hf CLI and curl.
- Browser
- Download file 956 Bytes
-
https://huggingface.co/baby-dev/556f9c39-9d2f-4828-8665-f7613b628a13/resolve/main/README.md
- Command line
-
hf download hf://baby-dev/556f9c39-9d2f-4828-8665-f7613b628a13/README.md
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curl -L -o README.md https://huggingface.co/baby-dev/556f9c39-9d2f-4828-8665-f7613b628a13/resolve/main/README.md
956 Bytes
metadata
library_name: peft
license: llama3
base_model: scb10x/llama-3-typhoon-v1.5-8b-instruct
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 556f9c39-9d2f-4828-8665-f7613b628a13
results: []
556f9c39-9d2f-4828-8665-f7613b628a13
This model is a fine-tuned version of scb10x/llama-3-typhoon-v1.5-8b-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3587
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