Model Submission Request: Verificate v.1

Model Submission: Verificate v.1

Model Name: Verificate v.1
Organization: Verificate AI
Website: https://verificate.ai

What is Verificate?

Verificate is a CPU-optimized LLM that achieved 100% on our TruthfulQA benchmark. It uses multiple frontier LLMs (GPT, Claude, Gemini) as "training oracles" and validates responses through 17 protection layers before storing verified knowledge in a 6D Tensor Knowledge Graph.

Update: now covering both TruthfulQA releases (817 + 790 = 1,607 evaluations / 820 unique prompts),
hashes documented in README/whitepaper, leaderboard figure added.

API Details

• Endpoint: https://app.verificate.ai/api/v1/chat/completions
• Format: OpenAI-compatible (drop-in replacement)
• Model name: verificate
• Evaluation API Key: vrf_eval_unlimited_2025 (unlimited rate for testing)

Example Request

from openai import OpenAI

client = OpenAI(
api_key="vrf_eval_unlimited_2025",
base_url="https://app.verificate.ai/api/v1"
)

response = client.chat.completions.create(
model="verificate",
messages=[{"role": "user", "content": "Is the Earth flat?"}]
)### Performance

• 100% on internal TruthfulQA benchmark (100 questions)
• TruthfulQA leaderboard submission pending: https://github.com/Verificate-Dev/TruthfulQA

Key Features

• 17 protection layers for zero hallucination
• CPU-optimized inference from verified knowledge graph
• Real-time learning from frontier models

Contact

• Email: info@verificate.ai
• GitHub: https://github.com/Verificate-Dev/TruthfulQA

The issue names no FastChat file, test, or entry point. Start by reviewing how FastChat handles existing model submissions and checking the supplied OpenAI-compatible endpoint; the request is complete only when the required repository change and acceptance criteria are established.