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perry-7b
dotvignesh/perry-7b
perry-7b is a text generation model from dotvignesh. Use it when you need the model to write or continue text. It is set up for transformers.
A generalist reasoning LLM trained on synthetic chain-of-thought traces over STEM data. Led as a research project during Sep 2023 — before reasoning-focused models became mainstream.
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Model card
From the Hugging Face model README
Perry-7B
A generalist reasoning LLM trained on synthetic chain-of-thought traces over STEM data. Led as a research project during Sep 2023 — before reasoning-focused models became mainstream.
Overview
Perry is a fine-tuned LLaMA 2 7B model designed to improve reasoning capabilities through synthetic CoT supervision. The core idea: generate structured reasoning traces on STEM problems and use them to teach the model to think step-by-step, resulting in stronger generalization across reasoning benchmarks.
Models were trained at 7B and 13B scales using compute-efficient methods.
Results
Improvements over LLaMA 2 7B (as of Sep 2023):
| Benchmark | Perry-7B | LLaMA 2 7B | Delta |
|---|---|---|---|
| MMLU (5-shot) | 46.18 | 43.80 | +2.38 |
| TruthfulQA (0-shot) | 40.08 | 38.98 | +1.10 |
| GSM8K (5-shot) | 10.31 | 5.38 | +4.93 |
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("dotvignesh/perry-7b")
tokenizer = AutoTokenizer.from_pretrained("dotvignesh/perry-7b")
Model Details
- Base model: LLaMA 2 7B
- Training data: Synthetic CoT traces on STEM datasets
- Framework: PyTorch / Transformers
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- Created
- Sep 28, 2023
- Updated
- Mar 7, 2026