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Sadiah/
Genie

Name: Genie
Rating: 2.5 (9 reviews)

text-generation-inference

endpoints_compatible

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Genie Tonality Fine-Tuned Mistral 7B Model

Overview

This model is a fine-tuned version of the "mistralai/Mistral-7B-v0.1" model, specifically trained to generate responses with a tonality similar to the character Genie from Disney's "Aladdin" franchise. The model has been fine-tuned using a dataset of Genie's dialogue and text samples to capture his unique speaking style, mannerisms, and personality.

Model Details

Base Model: "mistralai/Mistral-7B-v0.1"
Fine-Tuning Dataset: Custom dataset of Genie's dialogue and text samples.
Fine-Tuning Approach: PEFT (LoRA) and SFT Trainer.
Model Size: The model retains the same size and architecture as the original Mistral 7B model.

Intended Use

The Genie Tonality Fine-Tuned Mistral 7B Model is designed to generate responses and engage in conversations with a tonality and personality similar to the character Genie. It can be used for various creative and entertainment purposes, such as:

Generating Genie-like dialogue for stories, fan fiction, or roleplaying scenarios
Creating interactive chatbots or virtual assistants with Genie's personality
Enhancing natural language processing applications with a unique and recognizable tonality

Limitations and Considerations

The model's responses are generated based on patterns and characteristics learned from the fine-tuning dataset. While it aims to capture Genie's tonality, the generated text may not always perfectly align with Genie's canonical dialogue or behavior.
The model may generate responses that are biased or inconsistent with Genie's character at times, as it is still an AI language model and not a perfect replication of the original character.
The generated text should be used responsibly and with awareness of its fictional nature. It should not be considered a substitute for professional writing or official Disney content.

Inference Code

To test and interact with the Genie Tonality Fine-Tuned Mistral 7B Model, you can use the following inference code:

python

# Import necessary libraries
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM

# Load the Genie model from Hugging Face
tokenizer = AutoTokenizer.from_pretrained("Sadiah/Genie")
model = AutoModelForCausalLM.from_pretrained("Sadiah/Genie", device_map={"": 0})

# Define the input text for which you want to generate an answer
input_text = "<s>[INST]What is a function? [/INST]"

# Tokenize the input text using the loaded tokenizer
input_ids = tokenizer(input_text, return_tensors="pt")

# Move the tokenized input to GPU memory for faster processing
input_ids = input_ids.to("cuda")

# Generate output sequences (answers) from the input
outputs = model.generate(**input_ids, max_length=200, num_return_sequences=1, temperature=0.7)

# Decode the generated output back to text
generated_text = tokenizer.decode(outputs[0])

# Extract the answer by removing the surrounding tags and the question
answer = generated_text.split("[/INST]")[1].strip()
answer = answer.replace("</s>", "").strip()

# Find the position of the last full stop (period)
last_full_stop_pos = answer.rfind(".")

# Extract the answer up to the last full stop
if last_full_stop_pos != -1:
    answer = answer[:last_full_stop_pos + 1]

# Print the final, cleaned answer
print(answer)

Ah, Master, a function is like a magic trick! It takes an input and performs a special task, transforming it into an output. It's like a wizard's spell, turning one thing into another.

This code snippet allows you to provide an input prompt and generate a response from the model. The generated text will aim to mimic Genie's tonality and personality based on the fine-tuning process.

Contact and Feedback

If you have any questions, feedback, or concerns regarding the Genie's Tonality Fine-Tuned Mistral 7B Model, please contact me https://www.sadiahzahoor.com/contact.