🍓 BerryAI

Author: @hotboxxgenn
Version: 1.1
Type: Conversational + Coding + UI + Math + Factual Model
Base: Mixtral 8x7B, OpenBuddy, Mistral-Grok, RedPajama

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✨ Overview

BerryAI is a multi-skill LLM designed to perform:

• 💻 Coding — Python, JS, React, Tailwind, multi-step reasoning
• 🎨 UI generation — generate clean, responsive interfaces
• 💬 Conversational chat — helpful, creative, engaging tone
• 🧮 Math reasoning — step-by-step calculations
• 🔍 Factual grounding — reduced hallucination, improved accuracy

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🚀 Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("hotboxxgenn/BerryAI")
model = AutoModelForCausalLM.from_pretrained("hotboxxgenn/BerryAI")

prompt = "Generate a responsive React login form with Tailwind CSS."
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=200)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))