RP Chat
Ratings reflect this model as run on Arli AI.
Gemma-4-31B-Larkspur-v1 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 ModelsInput (24H)
0
Output (24H)
0
Input (7D)
0
Output (7D)
0
Typical Total Time
30.47s
Typical TTFT
7.48s
Typical Input TPS
1661.81
Typical Output TPS
14.72
Context Size
262144
Quantization
r128 on FP8
Engine
vllm
Creation Method
Merge
Model Class
Gemma-4-31B - LoRA
Chat Template
Gemma4
Reasoning
Yes
Vision
Yes
Parameters
31B
Added At
10/31/2026
Gemma-4-31B-Larkspur-v1 is available through an OpenAI-compatible chat completions endpoint. Point any OpenAI SDK at https://api.arliai.com/v1, pass Gemma-4-31B-Larkspur-v1 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-Larkspur-v1",
"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-Larkspur-v1",
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.
base_model:
same dataset as v0, r64a32 rslora instead of r32a16, liger_use_token_scaling enabled