Reasoning-Small-1B
A compact and efficient 1B parameter model fine-tuned for reasoning tasks using extracted Chain-of-Thought (CoT) data.
Training Details
- Base Model: LLaMA 3.1 (1B parameters)
- Dataset: 2.67M extracted Chain-of-Thought examples
Benchmarking
| Benchmark | Performance |
|---|---|
| GSM8K (Math) | 70.8% |
| ARC (Reasoning) | 69.4% |
| Math(CoT) | 40.8% |
License
This repository is released under the MIT License.
library_name: transformers tags: - text-generation - causal-lm
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