Zora-ALM-7.2B-gguf

Zora - Advanced AI Assistant by AbroAI

Zora is an advanced AI assistant created by the AbroAI team, led by Abraham Temitope at AbroTech Technologies. Zora is built on the ALM-4b architecture, designed to handle complex tasks ranging from creative writing to coding assistance.

Model Details

• Name: Zora
• Architecture: ALM-7b (Abro-Language Model)
• Parameters: 7 billion
• Training: Advanced instruction tuning
• Capabilities:
  • Reasoning: Solving complex problems
  • Coding: Assisting in various programming languages
  • Creative Writing: Generating creative content like stories and essays
  • Helpful Assistance: Offering answers to a wide range of general queries

Usage

To use Zora for text generation, follow these steps:

1. Install Required Libraries

First, ensure you have the necessary libraries installed:

pip install transformers torch

2. Run Code In Colab

Secondly, Run code In Gradio or Colab

from transformers import AutoModelForCausalLM, AutoTokenizer

# Load the model and tokenizer
model = AutoModelForCausalLM.from_pretrained("abroai/zora-assistant")
tokenizer = AutoTokenizer.from_pretrained("abroai/zora-assistant")

# Input text for the model to generate a response
input_text = "What is your name?"

# Tokenize the input text
inputs = tokenizer(input_text, return_tensors="pt")

# Generate the output
outputs = model.generate(**inputs, max_length=100)

# Decode and print the result
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(response)