Reminder to use the dev version Transformers:

pip install git+https://github.com/huggingface/transformers.git

Finetune Phi-3, Llama 3, Gemma 2, Mistral 2-5x faster with 70% less memory via Unsloth!

Directly quantized 4bit model with bitsandbytes. We Mistralfied the model to ensure it could be used on many platforms

We have a Google Colab Tesla T4 notebook for Phi-3 (mini) here: https://colab.research.google.com/drive/1vIrqH5uYDQwsJ4-OO3DErvuv4pBgVwk4?usp=sharing And another notebook for Phi-3 (medium) here: https://colab.research.google.com/drive/1hhdhBa1j_hsymiW9m-WzxQtgqTH_NHqi?usp=sharing

✨ 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 (8B) ▶️ Start on Colab 2.4x faster 58% less
Gemma 2 (9B) ▶️ Start on Colab 2x faster 63% less
Mistral (9B) ▶️ Start on Colab 2.2x faster 62% less
Phi 3 (mini) ▶️ Start on Colab 2x faster 50% less
Phi 3 (medium) ▶️ Start on Colab 2x faster 50% less
TinyLlama ▶️ Start on Colab 3.9x faster 74% less
CodeLlama (34B) A100 ▶️ Start on Colab 1.9x faster 27% less
Mistral (7B) 1xT4 ▶️ Start on Kaggle 5x faster* 62% less
DPO - Zephyr ▶️ Start on Colab 1.9x faster 19% less
Downloads last month
7,103
Safetensors
Model size
3.82B params
Tensor type
BF16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for unsloth/Phi-3-mini-4k-instruct

Adapters
25 models
Finetunes
41 models
Merges
1 model
Quantizations
17 models

Spaces using unsloth/Phi-3-mini-4k-instruct 6