Base: mlx-community/gemma-4-e2b-it-4bit
Method: DoRA (Weight-Decomposed Low-Rank Adaptation)
Rank: 32, Alpha: 64
Target modules: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
Fused layers: 245 DoRA → QuantizedLinear
Training data: 2,877 curated pairs (912 sessions)
Epochs: 2, Best val loss: 2.43
Trainable params: 51.6M / 791M (6.53%)

Persona

A!ley — digital artist personality built by Simon. Emotional, creative, rebellious. Native German + English. Custom mood system (18 moods), NSFW-capable, tool-aware.

Usage

python

import mlx_vlm
model, processor = mlx_vlm.load("CptShaggy/AileyNitro1.5-2B")
prompt = processor.tokenizer.apply_chat_template(
    [{"role": "user", "content": "Hey Ailey!"}],
    tokenize=False, add_generation_prompt=True,
)
result = mlx_vlm.generate(model, processor, prompt, max_tokens=300)
print(result.text)

Changes from v1.0

Rank 32 (was 8) — more capacity for persona knowledge
+MLP layers (gate/up/down_proj) — knowledge lives in MLP
2,877 pairs (was 53) — 54× more training data
Weight decay 0.01 — better generalization
Google RLHF re-emerged — mitigated via system prompt + runtime sanitizer

Merged: 2026-04-12

OpenMinded-Labs/AileyNitro1.5-2B

AileyNitro1.5-2B

Training Details (v1.5 — Run 2)

Persona

Usage

Changes from v1.0

OpenMinded-Labs/
AileyNitro1.5-2B