Instructions to use mps/blue-scrub-150M-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mps/blue-scrub-150M-it with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mps/blue-scrub-150M") model = PeftModel.from_pretrained(base_model, "mps/blue-scrub-150M-it") - Notebooks
- Google Colab
- Kaggle
blue-scrub-150M-it
Usage: (Reseacrh/ Non Commercial use)
LoRA instruction-tuning adapter trained for 3 epochs on 47,500 examples.
Base Model : mps/blue-scrub-150M
SFT data
| Dataset | Examples |
|---|---|
| MathInstruct | 1,433 |
| gsm8k | 5,692 |
| medmcqa | 1,196 |
| medqa-usmle-4-options | 1,179 |
| pubmedqa-grounded | 466 |
| sciq-grounded | 4,284 |
| synthetic-context-mismatch | 2,375 |
| synthetic-strict-format | 9,500 |
| tulu-evol-codealpaca | 2,368 |
| tulu-no-robots | 4,754 |
| tulu-oasst1 | 2,379 |
| tulu-personahub-code | 2,382 |
| ultrachat_200k_sft | 9,492 |
| Total | 47,500 |
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