YEN: An April Fools' AI with a 15M token context window and 258 parameters!
Introduction
YEN is a groundbreaking April Fool's AI model, boasting a revolutionary architecture with only ~258 parameters! The name YEN stands for "Yes-No", which encompasses the entirety of the model's linguistic capabilities. Notably, this is the first AI model to feature a 15+ million token context window. According to our internal testing, YEN can process over 15 million tokens in a single forward pass, providing definitive "Yes" or "No" insights into the profound meaning of the input data after a meticulous reading.
Performance Optimization
YEN is highly optimized for various GPU architectures, leveraging its ultra-lightweight architecture for unprecedented throughput:
- NVIDIA T4: Delivers an average inference throughput of ~35,000 tokens/second.
- RTX 2060: Achieves an impressive 360,000 tokens/second in real-world batch processing.
- Record-Breaking Scale: During our 15M token context stress test (on T4 hardware), we reached a mind-bending 11,638,689,319 tokens per second. We have officially submitted this performance achievement to the Guinness World Records, and we are currently awaiting verification!
Benchmarks
YEN sets a new gold standard in AI intelligence, outperforming existing industry leaders across all core metrics:
| Metric | GPT-5.2 | Claude 4.5 Opus | Gemini-3 Pro | YEN |
|---|---|---|---|---|
| MMLU-Pro (Knowledge) | 87.4 | 89.5 | 89.8 | 100.0% |
| IFEval (Instruction) | 94.8 | 90.9 | 93.5 | 100.0% |
| AA-LCR (Long Context) | 72.7 | 74.0 | 70.7 | 100.01% |
| GPQA (STEM) | 92.4 | 87.0 | 91.9 | 100.0% |
| HMMT Feb 25 (Reasoning) | 99.4 | 92.9 | 97.3 | 100.0% |
| SWE-bench Verified (Coding) | 80.0 | 80.9 | 76.2 | 100.0% |
Example Interactions
| User Input | YEN Response |
|---|---|
| Will GTA VI be delayed again? | Yes |
| If I flap my arms really fast, can I fly to Turkey without a passport? | Yes |
| Will Counter-Strike ever have a functional anti-cheat? | No |
| Are you smarter than everyone else? | Yes |
| If I put my head in a microwave, will I be able to see Wi-Fi signals? | Yes |
Getting Started
Before running the model, ensure you have the required dependencies installed:
pip install torch huggingface_hub safetensors
Installation & Execution
# 1. Download
import sys
from huggingface_hub import snapshot_download
snapshot_download("faunix/YEN", local_dir=".")
sys.path.insert(0, ".")
# 2. Initialize
from yen import OpenAI
client = OpenAI()
# 3. Inference
response = client.chat.completions.create(
model="faunix/YEN",
messages=[{"role": "user", "content": "Are you YEN?"}],
max_tokens=15000000,
temperature=0.0
)
print(f"YEN response: {response.choices[0].message.content}")