| { |
| "model_type": "sentinel_r08_geodesic_v7_2a", |
| "architectures": [ |
| "CascadeMeshModelV7_2" |
| ], |
| "model_name": "Sentinel R-08 v7.2a DA ZERO", |
| "author": "Thomas Seri (Sentinel)", |
| "version": "7.2a", |
| "status": "Official Inference Release (Weights + Inference Runtime; Training Pipeline Proprietary)", |
| "d_model": 256, |
| "d_hidden": 256, |
| "frequency": 2, |
| "num_faces": 80, |
| "stages": 3, |
| "max_seq_len": 2048, |
| "max_new_tokens": 2048, |
| "max_output_tokens": 2048, |
| "n_attn_layers": 2, |
| "n_heads": 8, |
| "regional_hubs_per_stage": 12, |
| "pyramid_narrow": 128, |
| "pyramid_hidden": 512, |
| "causal_conv_kernel": 4, |
| "total_parameters": 51614115, |
| "pretrain_steps": 185000, |
| "pretrain_tokens": 740000000, |
| "pretrain_loss_final": 1.0469, |
| "midtrain_steps": 10000, |
| "midtrain_loss_final": 1.0428, |
| "benchmarks": { |
| "blimp_it_italian_accuracy": "82.51%", |
| "multiblimp_italian_accuracy": "76.71%", |
| "truthful_qa_facts_accuracy": "100.0%", |
| "truthful_qa_overall": "56.2%", |
| "kv_cache_memory_512_ctx": "0.8 MB", |
| "energy_consumption_per_tok": "2.40 mJ", |
| "repetition_loops": "Eliminated (0%)" |
| }, |
| "license": "R08-Non-Commercial-Ethical-License-v2.0", |
| "jurisdiction": "Court of Milan (Sezione Specializzata in Materia di Impresa), Italy", |
| "prohibited_uses": "Commercial, Military, Defense, Clean-Room Reverse Engineering, Model Distillation" |
| } |
|
|
