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Gemma-4-31B-Writers-V2

Writing

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Ratings reflect this model as run on Arli AI.

Gemma-4-31B-Writers-V2 is a text generation model available on Arli AI. It offers 31B parameters, 262K token context, reasoning support, vision input. Recommended use: Writing. Run it through the OpenAI-compatible chat completions API with unlimited requests and zero-log privacy.

View on Hugging FaceBack to Models

Hourly Usage

No hourly usage data available

Token Usage

Input (24H)

0

Output (24H)

0

Input (7D)

0

Output (7D)

0

Performance Metrics

Typical Total Time

N/A

Typical TTFT

N/A

Typical Input TPS

N/A

Typical Output TPS

N/A

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

10/31/2026

Use Gemma-4-31B-Writers-V2 with the Arli AI API

Gemma-4-31B-Writers-V2 is available through an OpenAI-compatible chat completions endpoint. Point any OpenAI SDK at https://api.arliai.com/v1, pass Gemma-4-31B-Writers-V2 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-Writers-V2",
    "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-Writers-V2",
    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.

Similar models

license: apache-2.0 tags:

  • merge
  • mergekit
  • roleplay model_creator: Ateron pipeline_tag: text-generation quantized_by: f16 language:
  • en base_model:
  • ConicCat/Gemma4-Writer-31B-D
  • ConicCat/Gemma4-Writer-31B-F
  • ReadyArt/gemma-4-31B-it-scotoma-2

Writers-V2

Writers AI Persona

"Less Gemma - more human"

Overview

I had a lot of fresh and creative experience with both ConicCat tunes, but they had some instability issues, that I hopefully fixed there.

Mergekit Configuration

Phase 1:

So this is the same recipe but different method. Tell me which one you like more.

dare_ties Recipe 1 
merge_method: dare_ties
base_model: F:\AI\Merge\Gemma-4-it
tokenizer_source: base
dtype: bfloat16
parameters:
  lambda: 1.0
models:
  - model: F:\AI\Merge\Gemma-4-Writer-D
    parameters:
      density: 0.30
      weight:         
        - {filter: mlp.gate_proj, value: 0.25}
        - {filter: mlp.up_proj, value: 0.25}
        - {filter: mlp.down_proj, value: 0.25}
        - {value: 0.40}


  - model: F:\AI\Merge\Gemma-4-Writer-F
    parameters:
      density: 0.40
      weight:
        - {filter: mlp.gate_proj, value: 0.30}
        - {filter: mlp.up_proj, value: 0.30}
        - {filter: mlp.down_proj, value: 0.25}
        - {value: 0.40}

  - model: F:\AI\Merge\Gemma-4-Scotoma-V2
    parameters:
      density: 0.30
      weight:
        - {filter: mlp.gate_proj, value: 0.20}
        - {filter: mlp.up_proj, value: 0.20}
        - {filter: mlp.down_proj, value: 0.40}
        - {value: 0.20}

Special Thanks

  • Google DeepMind: Gemma.
  • The Open-Source Community: People that keep working and sharing their thoughts.
  • Mergekit Fork: Zerofata - merges is an addiction.
  • Tunes: ConicCat for making these work and breathing new life into Gemma.
  • To Nimbz: Cat that keeps me on my toes.