⬡ ExocoreV1

Train
Auto-Train (Gemini)

Training Data

Model Configuration

ExocoreV1 Architecture

Input Tokens
Token Embedding 151,936 → 1024
↓ ×28 Transformer Blocks
Transformer Block (×28)
Input LayerNorm [1024]
GQA Attention 16Q / 8KV heads · dim 128
Q proj 1024→2048 · K,V 1024→1024 · O 2048→1024
Q-Norm & K-Norm (RMSNorm per head)
RoPE · θ=1,000,000 · max 40,960 tokens
Post-Attn LayerNorm [1024]
SwiGLU FFN 1024→3072→1024
Final RMSNorm [1024]
Language Model Head 1024 → 151,936
Output Tokens
751.6M
Parameters
28
Layers
bfloat16
Precision
40,960
Max Context

Trained Models

Loading…