AriaV9.3

Full merged model — unsloth/gemma-4-12b-it (gemma4_unified, 12B) with the AriaV9.3 fine-tune (adapter-v7, DMT staged QLoRA on Surge's home fleet) merged into the base weights. This repo previously contained only the LoRA adapter; that adapter now lives under adapter/ and the root is the complete model.

Contents

• root: merged bf16 safetensors (~24 GB) + tokenizer/chat template — load with AutoModelForCausalLM.from_pretrained("SurgeFF/AriaV9.3") or Unsloth.
• gguf/: full llama.cpp quant ladder — F16, Q2_K, Q3_K_S/M/L, Q4_0, Q4_K_S/M, Q5_0, Q5_K_S/M, Q6_K, Q8_0.
• adapter/: the original LoRA adapter (PEFT), for stacking or re-training.

Eval (Aria capability suite, fingerprint c11acc0589a501c3)

capability	score
math (GSM8K-100)	0.87
tools	1.00
identity	1.00
identity_bare	0.50
memory	0.95
mean	0.864

Lineage

Base unsloth/gemma-4-12b-it → continuation QLoRA (r=32, α=32, attention+MLP target modules, no embedding pass) over the AgentOS self-training corpus (975 task rows + multimodal floor 25%) → promoted as AriaV9.3 on 2026-08-06.

Private fleet model. Trained and merged on CudaCuda (RTX 3090 / local only).