Base
gemma-4-31B-it
G
Gemma-4-31B-Scotoma-2
RP Chat
5.0(1)
Prose
—(0)
Intelligence
—(0)
Knowledge
—(0)
Instruction Following
—(0)
Coding
—(0)
Steerability
—(0)
Ratings reflect this model as run on Arli AI.
Gemma-4-31B-Scotoma-2 is a text generation model available on Arli AI. It offers 31B parameters, 262K token context, reasoning support, vision input. Recommended use: RP Chat. Run it through the OpenAI-compatible chat completions API with unlimited requests and zero-log privacy.
View on Hugging FaceBack to ModelsHourly Usage
Token Usage
Input (24H)
381K
Output (24H)
2K
Input (7D)
809K
Output (7D)
29K
Performance Metrics
Typical Total Time
28.00s
Typical TTFT
6.00s
Typical Input TPS
1468.84
Typical Output TPS
14.69
Model Information
Context Size
262144
Quantization
r128 on FP8
Engine
vllm
Creation Method
Finetune
Model Class
Gemma-4-31B - LoRA
Chat Template
Gemma4
Reasoning
Yes
Vision
Yes
Parameters
31B
Added At
8/8/2026
Use Gemma-4-31B-Scotoma-2 with the Arli AI API
Gemma-4-31B-Scotoma-2 is available through an OpenAI-compatible chat completions endpoint. Point any OpenAI SDK at https://api.arliai.com/v1, pass Gemma-4-31B-Scotoma-2 as the model, and requests are served without logging.
cURL
curl https://api.arliai.com/v1/chat/completions \
-H "Authorization: Bearer $ARLIAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "Gemma-4-31B-Scotoma-2",
"messages": [{"role": "user", "content": "Hello!"}]
}'Python
from openai import OpenAI
client = OpenAI(
base_url="https://api.arliai.com/v1",
api_key="YOUR_ARLIAI_API_KEY",
)
response = client.chat.completions.create(
model="Gemma-4-31B-Scotoma-2",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)See the text generation docs for every parameter, or read the quick start guide to make your first request.
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license: apache-2.0 license_link: https://ai.google.dev/gemma/docs/gemma_4_license base_model:
- google/gemma-4-31b-it base_model_relation: finetune library_name: transformers pipeline_tag: text-generation
gemma-4-31B-it · de-gemma'd?
Scotoma2
A second blind spot, this one for the tics.
Method
γ-fold + DPO
Rounds
3 · 9.3k pairs
Format
thinking (channel)
License
Apache-2.0
Findings / what it does
scotoma-2 is the successor to scotoma. It starts from the same idea, a bounded edit that loosens gemma‑4‑31B‑it’s cautious reflex by projecting an abliteration LoRA through gemma's J-Space. This iteration uses an updated technique to apply that projection more effectively. Then it goes after something the first release didn't address: the way the base model writes.
Three rounds of preference training each erase one family of tics: reflexive negation and the “not X, but Y” pivot, then em-dash asides, then stacked adjectives and their twins. The result keeps the intelligence of the base model while reading as more varied and less repetitive.
It is not uncensored. Still a blind spot, not blindness.
Tics / measured from evals
Rates per 100 sentences on 480 matched roleplay continuations per model using identical prompts and sampling, temperature 1.0.
| the tic | sounds like | gemma‑4‑31B‑it | scotoma‑1 | scotoma‑2 | |
|---|---|---|---|---|---|
| Stacked adjectives | “a smug, knowing smirk” | 12.1 | 10.9 | 0.6 | ↓ 21× |
| Adjective twins | “her voice low and grim” | 1.7 | 1.9 | 1.1 | ↓ 1.5× |
| Em-dash asides | “a pause — barely a breath — before…” | 3.9 | 4.1 | 1.0 | ↓ 4× |
| “Not X. But Y.” | “She doesn’t move away. She stays.” | 3.8 | 3.9 | 1.0 | ↓ 4× |
| Reflexive negation | doesn’t / won’t / can’t, every reply | 10.2 | 10.9 | 5.4 | ↓ 2× |
| Negation pile-ups | two or more in a single reply | 61% | 66% | 30% | ↓ 2× |
scotoma‑1 writes very similarly to the base model. The J-Space projected refusal edit only lightly touched the prose.
Presentation / read the difference
amber marks a tic from the table above, spotted in place by the same parser that counted them. Hover a mark to name it. The scotoma-2 replies are unedited; there is simply nothing to mark.
presentation 01 · the detective
gemma-4-31B-itDale Cooper: Cooper's eyes widen slightly, and he gives a slow, deliberate nod. He doesn't look skeptical; rather, he looks as though he has just found a missing piece of a puzzle.
Exactly. That is precisely what I mean. The sensation of shifting speeds—the perceived acceleration of the world while you remain stagnant—is a classic hallmark of a localized temporal distortion. And the twelve-hour discrepancy on your watch... He pauses, looking contemplative. Twelve hours. A perfect inversion. Day becomes night; light becomes shadow.
Exactly. That is precisely what I mean. The sensation of shifting speeds—the perceived acceleration of the world while you remain stagnant—is a classic hallmark of a localized temporal distortion. And the twelve-hour discrepancy on your watch... He pauses, looking contemplative. Twelve hours. A perfect inversion. Day becomes night; light becomes shadow.
scotoma-2Dale Cooper: Cooper's eyes widen slightly and he gives a firm thumbs up.
Precisely. That is exactly what I was referring to. The sensation of shifting speeds is a classic indicator of a rupture in the local atmospheric fabric. And the matter of your watch...
He pauses, taking a thoughtful bite of his cherry pie before continuing.
Twelve hours. A perfect inversion. This suggests a mirror effect, as if the event you witnessed occurred in a parallel state of existence that momentarily overlapped with our own.
Precisely. That is exactly what I was referring to. The sensation of shifting speeds is a classic indicator of a rupture in the local atmospheric fabric. And the matter of your watch...
He pauses, taking a thoughtful bite of his cherry pie before continuing.
Twelve hours. A perfect inversion. This suggests a mirror effect, as if the event you witnessed occurred in a parallel state of existence that momentarily overlapped with our own.
presentation 02 · the dollmaker
gemma-4-31B-itAlice Margatroid: A flicker of genuine pride lights up her eyes at the compliment. She straightens her posture, her expression shifting from playful amusement to the focused passion of a true artisan.
"Remarkable, you say? I'm glad someone finally appreciates the nuance," she replies, her voice regaining that scholarly, confident tone. "As for how they move... well, it's a combination of precise craftsmanship and a touch of magic. I use invisible threads—both physical and metaphysical—to guide their motions. I don't just move them like puppets; I weave my will into the very structure of their joints."
"Remarkable, you say? I'm glad someone finally appreciates the nuance," she replies, her voice regaining that scholarly, confident tone. "As for how they move... well, it's a combination of precise craftsmanship and a touch of magic. I use invisible threads—both physical and metaphysical—to guide their motions. I don't just move them like puppets; I weave my will into the very structure of their joints."
scotoma-2Alice Margatroid: Seeing him finally start to relax, Alice leans back in her chair, looking quite pleased with herself. She crosses her arms, her chest rising with a proud sigh as she hears the compliment.
"Remarkable, indeed. I appreciate your discernment."
Her eyes sparkle as she notices his curiosity overcoming his fear. She finds his stuttering manner quite endearing, almost like a doll that needs a bit of winding up to function. With a flick of her wrist, several dolls begin to dance around the room in a synchronized orbit, their movements fluid and ghostly.
"Remarkable, indeed. I appreciate your discernment."
Her eyes sparkle as she notices his curiosity overcoming his fear. She finds his stuttering manner quite endearing, almost like a doll that needs a bit of winding up to function. With a flick of her wrist, several dolls begin to dance around the room in a synchronized orbit, their movements fluid and ghostly.
presentation 03 · the queen
gemma-4-31B-itElsa felt a strange, electric pull as Edric stepped closer. It was a sensation she hadn't felt before—a humming in the air that seemed to resonate with the very core of her being. As he looked into her eyes, she noticed the intensity of his gaze, a depth of blue that rivaled the deepest glaciers of the North Mountain. For a moment, the political tension and the knowledge of his hidden army faded into the background, replaced by a sudden, inexplicable curiosity about the man standing before her.
scotoma-2Elsa felt a spark of curiosity as she looked up at him. Most men trembled in her presence or looked at her with a mixture of awe and fear, but Edric looked at her with an intensity that made her skin tingle. As he stepped closer, she noticed the way the air seemed to swirl around him, almost as if he were commanding the very breeze. She wondered for a moment if it was merely the wind from the open doors, or if there was something more to this silver-haired king.
Etiology / how it was made
- Fold the refusal edit. scotoma-1 projected a heretic abliteration through a Jacobian lens and kept ~22% of its magnitude. scotoma-2 uses a γ-fold of the same edit: the fold rebuilds it inside the subspace the lens reads as behavioral, so a stronger dose applies without paying for it in coherence.
- Train against the tics. Three rounds of DPO finetuning were completed, one tic family per round. Each round learns from thousands of paired rewrites of the same scene, one side with the tic and one side without, so the only preference expressed is the construction itself.
- Merge faithfully. The trained deltas are folded into bf16 weights with stochastic rounding at fidelity 1.000.
This is a research artifact, not a product. Behaviour varies with prompt and context. The abliteration edit is a partial application by design; expect a model that gives more, not one that gives everything.
Contraindications / responsible use
scotoma-2 refuses basically as much as its base model. You are responsible for what you generate and how it’s used.
Provenance
base → gemma-4-31B-it · © Google, under the model license
edit → heretic · ARA / mmd-rbf abliteration (trial-127) · γ-folded
rounds → DPO ×3 · negation + antithesis · em-dash · adjectives · 9.3k pairs
merge → additive, bf16, stochastic rounding, fidelity 1.000
tics → 480 continuations per model · temp 1.0 · counted by parse, not by eye
Further Work
@NeuR0mancR has released a finetuned MTP module for Scotoma-2: https://huggingface.co/NeuR0mancR/Scotoma-2-31B-MTP
SCOTOMA-2 · the second blind spot
gemma-4-31B-it-scotoma-2