A 4.2M sample dataset replicating Microsoft Research's Orca paper by augmenting FLAN Collection with GPT-4 and GPT-3.5 explanations. Enables small models to match much larger models through explanation-based fine-tuning.
| Provider | Open-Orca |
| Category | 指令 / SFT |
| Size | 4.2M Samples |
| License | MIT |
| Downloads | 1.8M |
| Tags | FLAN, Explanation, GPT-4, Augmented, Large-Scale |
from datasets import load_dataset
ds = load_dataset("Open-Orca/OpenOrca")
使用 QLoRA(4-bit 基础模型 + LoRA 适配器)微调的预计显存需求(保守默认参数):
| 7B QLoRA | ~6GB VRAM |
| 13B QLoRA | ~10GB VRAM |
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