Modern Transformer 1.5B - GGUF Release
This repository contains the GGUF binary release of the custom 1.5-billion parameter modern transformer developed by Binyam, featuring Grouped-Query Attention (GQA), SwiGLU FFN, RMSNorm, and Rotary Position Embeddings (RoPE), fully aligned via SFT and GRPO[cite: 1].
Files Included
modern_transformer_1.5b_aligned.gguf: The standalone binary GGUF weights container optimized for local execution.
Architectural Specifications
- Parameters: 1.5 Billion (28 Transformer Blocks)
- Hidden Dimension ($d_{model}$): 2048
- Attention Heads: 16 Query Heads / 4 KV Heads (GQA)
- Feed-Forward Dimension ($d_{ff}$): 6144 (SwiGLU)
- Normalization: RMSNorm ($\epsilon = 1 imes10^{-6}$)
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