WizardLM Evol Instruct 70k — LLM Instruction / SFT Dataset

Uses the 'Evol-Instruct' method to progressively rewrite simple instructions into increasingly complex and diverse ones using GPT-4. Results in a dataset where ~70k examples span from basic to graduate-level difficulty. WizardLM 13B outperformed Vicuna 13B on complex reasoning tasks using this data alone.

Dataset Details

ProviderWizardLM
CategoryInstruction / SFT
Size70k Rows
LicenseApache 2.0
Downloads800k
TagsSynthetic, Evol-Instruct, Complex-Reasoning, GPT-4
 
from datasets import load_dataset
ds = load_dataset("WizardLM/WizardLM_evol_instruct_70k")

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Estimated VRAM to fine-tune with QLoRA (4-bit base model + LoRA adapters), using conservative defaults:

7B QLoRA~6GB VRAM
13B QLoRA~10GB VRAM

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Frequently asked questions

Can I use WizardLM Evol Instruct 70k commercially?
Yes — WizardLM Evol Instruct 70k is released under Apache 2.0, 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 WizardLM Evol Instruct 70k contain, and do I need all of it?
WizardLM Evol Instruct 70k contains 70k Rows. 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 WizardLM Evol Instruct 70k best used for?
Boosting complex-instruction handling with Evol-Instruct data. It belongs to the Instruction / SFT section of our dataset hub, where you'll find alternatives and complementary sets.

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