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metadata
base_model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
datasets:
  - nvidia/HelpSteer2
language:
  - en
library_name: transformers
license: llama3.1
pipeline_tag: text-generation
tags:
  - nvidia
  - llama3.1
  - unsloth
  - llama

Finetune Llama 3.2, NVIDIA Nemotron, Mistral 2-5x faster with 70% less memory via Unsloth!

We have a free Google Colab Tesla T4 notebook for Llama 3.2 (3B) here: https://colab.research.google.com/drive/1Ys44kVvmeZtnICzWz0xgpRnrIOjZAuxp?usp=sharing

unsloth/Llama-3.1-Nemotron-70B-Instruct-GGUF

For more details on the model, please go to NVIDIA's original model card

✨ Finetune for Free

All notebooks are beginner friendly! Add your dataset, click "Run All", and you'll get a 2x faster finetuned model which can be exported to GGUF, vLLM or uploaded to Hugging Face.

Unsloth supports Free Notebooks Performance Memory use
Llama-3.2 (3B) ▶️ Start on Colab 2.4x faster 58% less
Llama-3.1 (8B) ▶️ Start on Colab 2.4x faster 58% less
Phi-3.5 (mini) ▶️ Start on Colab 2x faster 50% less
Gemma 2 (9B) ▶️ Start on Colab 2.4x faster 58% less
Mistral (7B) ▶️ Start on Colab 2.2x faster 62% less
DPO - Zephyr ▶️ Start on Colab 1.9x faster 19% less

Special Thanks

A huge thank you to the Meta and Llama team for creating these models and for NVIDIA fine-tuning them and releasing them.