olliai/Maika-Buddy-Phi4-mini-1207

Model Summary

Maika Buddy Model, fine-tuned from Microsoft Phi4 with our specialized children's conversational dataset, drives BuddyOS to enrich children's communication skills through interactive dialogue. Designed for AI-enhanced toys, Maika encourages children to express themselves, ask questions, and practice active listening in a non-judgmental environment. It not only fosters confidence in communication but also promotes a balanced approach by encouraging activities like outdoor play, hands-on creativity, and sharing experiences with family and friends, ensuring comprehensive developmental support for young users.

Project Website: BuddyOS

Requirements

The code of Maika Buddy has been in the latest Hugging face transformers and we advise you to install transformers>=4.53.0.

Quickstart

Here provides a code snippet to show you how to load the tokenizer and model and how to generate contents.

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

torch.set_default_device("cuda")

model_path = "olliai/Maika-Buddy-Phi4-mini-1207"

model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype="auto", trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained(model_path, trust_remote_code=True)

prompt = """A chat between a curious kid and an artificial intelligence assistant. The assistant gives helpful, easy-to-understand, detailed, and polite answers to the questions of the kid.
Kid: I have 10 apples. I gave Bob 2 pencil. How many apples do I have now?
AI: """

inputs = tokenizer(prompt, return_tensors="pt", return_attention_mask=False)

outputs = model.generate(**inputs, max_length=200,
                         do_sample=True,
                        repetition_penalty=1.1,
                        temperature=0.3,
                        top_k=50,
                        top_p=0.95, 
                        eos_token_id=tokenizer.encode("<|endoftext|>"))
text = tokenizer.batch_decode(outputs)[0]
print(text)

License

Maika Buddy is distributed under the terms of the MIT. No restrict on the research, but should comply with the Phi4 License.

Contact Us

If you have any questions, please raise an issue or contact us at [email protected].