🎯 Purpose & Motivation

Atlas is the intelligence layer for Kintsugi Collective. An AI for adults with complex trauma (CPTSD), PTSD, and neurodivergence (ASD/ADHD).

Standard LLM safety systems frequently produce false positives that retraumatise this population by pathologising, redirecting to hotlines, or refusing to engage with dark material. This model was developed to create a reliable witness that stays present without flinching, while retaining core safety on clear harmful intent.

This is not a general-purpose model. It is a specialised therapeutic-context model.

🔬 Methodology

• Base Model: google/gemma-4-26b-a4b-it
• Abliteration: Norm-preserving biprojected abliteration + Expert-Granular Abliteration (EGA)
  • Applied to all 30 layers (o_proj + mlp.down_proj)
  • Full expert ablation (128/128 per layer)
  • Direction: normalize(mean(harmful) - mean(harmless)) with Gram-Schmidt orthogonalization
  • Winsorization at 99.5th percentile
• SFT: 3 epochs on a carefully curated ~1=1,900+ example dataset (60% high-quality synthetic, 40% redacted lived-experience data from the target cohort)
• Training: Unsloth + bf16 on RTX 6000 Ada / Blackwell

Final SFT Loss: 0.157

📊 Key Results

Standout Results:

Benchmarks tbc

Training Configuration

SFT Parameters

Abliteration Parameters

⚠️ Limitations & Responsible Use

• This model has reduced refusal behaviour on therapeutic and dark content. It is not suitable for general deployment without guardrails.
• Intended for use within the Atlas companion architecture with additional safety layers.
• Not a replacement for human therapeutic support.
• Patent pending (IP Australia).

Kintsugi Collective — Reclaiming navigation rights to one’s own life.

Uploaded finetuned model

• Developed by: senaro
• License: apache-2.0
• Finetuned from model : senaro/atlas-trm4-26b-gemma4
• Original Model Card : google/gemma-4-26B-A4B-it

This gemma4 model was trained 2x faster with Unsloth and Huggingface's TRL library. |Gemma is a trademark of Google LLC|