verinova-stable

What is this model?

A fast, self-hosted chat (LLM) model based on Gemma 4 12B, running on our own GPU infrastructure. Lighter than verinova-large; thinking mode is OFF by default, so replies come back immediately. A good general-purpose API default.

Capability & type

Capability	Chat (LLM) — Capability page
Model type	Language model (LLM) (type=1)
Base model	Gemma 4 12B Instruct (Q8)
Provider	arpanet (local / self-hosted)
Streaming	✓ supported

Endpoint

POST /v1/chat/completions

Secondary endpoints:

• POST /v1/completions

Base URL: https://app.qevron.ai/v1

Authentication

Every request needs the Authorization: Bearer <KEY> header.

Authorization: Bearer <KEY>

Request schema & parameters

Parameter	Type	Required	Description
model	string	✓	verinova-stable
messages	array	✓	OpenAI role/content message list
stream	bool	—	true → SSE stream
max_tokens	int	—	Max tokens to generate
temperature	number	—	0–2

Response schema

{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "choices": [{"index": 0, "message": {"role": "assistant", "content": "..."}, "finish_reason": "stop"}],
  "usage": {"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0}
}

Streaming

Add "stream": true; the server replies incrementally over Server-Sent Events.

Code examples

curl

curl https://app.qevron.ai/v1/chat/completions \
  -H "Authorization: Bearer $QEVRON_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "verinova-stable",
    "messages": [{"role": "user", "content": "Hello, world"}]
  }'

Python

from openai import OpenAI
client = OpenAI(api_key="$QEVRON_KEY", base_url="https://app.qevron.ai/v1")
resp = client.chat.completions.create(
    model="verinova-stable",
    messages=[{"role": "user", "content": "Hello, world"}],
)
print(resp.choices[0].message.content)

JavaScript

import OpenAI from "openai";
const client = new OpenAI({ apiKey: process.env.QEVRON_KEY, baseURL: "https://app.qevron.ai/v1" });
const resp = await client.chat.completions.create({
  model: "verinova-stable",
  messages: [{ role: "user", content: "Hello, world" }],
});
console.log(resp.choices[0].message.content);

Pricing

Input	Output	Unit
$0.0005	$0.001	1K tokens

Rate limits

RPM/TPM are governed by your group quota. Check your current quota with: GET /v1/dashboard/billing/quota.

Notes & quirks

Thinking mode — per request

verinova-stable answers directly without reasoning by default (fast). To get step-by-step reasoning, enable it per request:

{
  "model": "verinova-stable",
  "messages": [{"role": "user", "content": "What is 17 * 23?"}],
  "chat_template_kwargs": {"enable_thinking": true}
}

When enabled, the model emits its reasoning in a separate reasoning_content field before the visible answer — with a small max_tokens the visible content can come back empty, so budget enough tokens.

Limits & constraints

• Context window: 16K tokens (server default).
• The retired alias verinova routes to verinova-large, not to this model.

Related

• Capability page: Chat (LLM)
• All local models: Local Models