Tulu 3 SFT Mix
AllenAI's carefully curated 939K SFT training mix that powers the Tulu 3 model family. Combines open-licensed instruction data from multiple domains (math, science, code, safety) with synthetic data generation, achieving performance competitive with frontier models.
from datasets import load_dataset
ds = load_dataset("allenai/tulu-3-sft-mixture")Preview a sample row
{
"dataset": "tulu3_mix",
"messages": [
{"role": "user", "content": "Summarize the key findings of the Paris Agreement."},
{"role": "assistant", "content": "The Paris Agreement (2015) establishes three central goals: limit global warming to 1.5–2°C above pre-industrial levels..."}
]
}Fine-tune with this dataset
Estimated VRAM to fine-tune with QLoRA (4-bit base model + LoRA adapters), using conservative defaults:
New to fine-tuning? Follow the step-by-step walkthrough: Fine-Tune Your First LLM in 1 Hour
Frequently asked questions
Can I use Tulu 3 SFT Mix commercially?
Yes — Tulu 3 SFT Mix is released under ODC-BY, a permissive license that allows commercial use, including training models you ship in a product. Check the dataset card for attribution requirements before release.
How much data does Tulu 3 SFT Mix contain, and do I need all of it?
Tulu 3 SFT Mix contains 939K Samples. You rarely need all of it: for style and format fine-tuning, a few hundred to a few thousand examples are enough — load a slice (e.g. split="train[:1000]") and scale up only if quality plateaus.
What is Tulu 3 SFT Mix best used for?
Reproducing a state-of-the-art fully open post-training recipe. It belongs to the Instruction / SFT section of our dataset hub, where you'll find alternatives and complementary sets.