🧶 Nylon V1

Nylon V1 is a high-performance transformer reasoning and engineering assistant created from scratch by Abdulwarith.

Trained with full-stack alignment:

1. Pre-training: 5+ Billion high-density engineering, mathematics, and systems tokens.
2. Instruction Alignment: Curated multi-turn dialogue with strict persona attribution and code reasoning.
3. Behavioral Optimization: High-precision direct preference tuning for concise, factual, and actionable outputs.

🚀 Quickstart with Transformers

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_id = "nylon-v1"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float32)

messages = [
    {"role": "system", "content": "You are Nylon V1, a helpful AI engineering assistant created by Abdulwarith."},
    {"role": "user", "content": "Write a Python function to check if a number is prime."}
]

prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(prompt, return_tensors="pt")

outputs = model.generate(**inputs, max_new_tokens=256, temperature=0.2)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

🏛️ Model Specifications

• Parameters: ~338 Million
• Context Window: 2,048 tokens
• Architecture: GPT-2 Decoder Stack (Pre-LayerNorm, 24 layers, 16 heads, 1024 embedding dim)
• Creator: Abdulwarith