Instructions to use eugrug-60/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eugrug-60/lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eugrug-60/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
This only example from Unsloth.ai
This model based on Llama 3.2 3B is trained for understand the "Byte Latent Transformer: Patches Scale Better Than Tokens" [research paper]
(https://ai.meta.com/research/publications/## byte-latent-transformer-patches-scale-better-than-tokens/) that was ## published in December 2024.
Uploaded model
- Developed by: eugrug-60
- License: apache-2.0
- Finetuned from model : unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
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
