Partial RoPE Analysis
Collection
Models trained via GPT-NeoX for studying Partial RoPE. • 55 items • Updated
This repository contains a raw GPT-NeoX training checkpoint from the Partial RoPE experiments accompanying Fractional Rotation, Full Potential? Investigating Performance and Convergence of Partial RoPE. The paper was accepted to EMNLP 2026.
| Field | Value |
|---|---|
| Architecture | Llama 3.2 1B |
| Dataset | FineWeb (FW) |
| Training sequence length | 1,024 tokens |
| Partial RoPE | 0% |
| Checkpoint | Global step 12,000 |
| Format | Raw GPT-NeoX checkpoint (not Transformers format) |
The files are preserved in their original GPT-NeoX checkpoint format and have not been converted to the Hugging Face Transformers format.