Instructions to use tangera/Llama3-8B-Mob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tangera/Llama3-8B-Mob with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tangera/Llama3-8B-Mob", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
A pretrain B finetune
- Developed by: tangera
- License: apache-2.0
- Pretrained from model : unsloth/llama-3-8b-Instruct-bnb-4bit
- Finetuned from model : model-First:v14
- Continued Finetuning from model : model-B_eval_loss:v44
- Pretraining Epoch : 5.0 (0-1000)
- Finetuning Epoch : 1.0
- Continued Finetuning Epoch : 2.0
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for tangera/Llama3-8B-Mob
Base model
unsloth/llama-3-8b-Instruct-bnb-4bit