How to use from
Unsloth StudioInstall Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for diegoakel/llama3.2-1B-PythonInstruct to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for diegoakel/llama3.2-1B-PythonInstruct to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="diegoakel/llama3.2-1B-PythonInstruct",
max_seq_length=2048,
)Quick Links
Uploaded model
- Developed by: diegoakel
- License: apache-2.0
- Finetuned from model : unsloth/Llama-3.2-1B-bnb-4bit
The notebook to train the model is available here. it is the Llama 3.2 1B base model (the unsloth Version) finetuned to write Python code with the iamtarun/python_code_instructions_18k_alpaca dataset.
I wrote about the process on my blog, here.
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for diegoakel/llama3.2-1B-PythonInstruct
Base model
meta-llama/Llama-3.2-1B Quantized
unsloth/Llama-3.2-1B-bnb-4bit
Install Unsloth Studio (macOS, Linux, WSL)
# Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for diegoakel/llama3.2-1B-PythonInstruct to start chatting