Oysiyl/gemma-2-2b-it-lora

This model Oysiyl/gemma-2-2b-it-lora was trained on win-wang/Machine_Learning_QA_Collection dataset and converted to MLX format from google/gemma-2-2b-it using mlx-lm version 0.23.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Oysiyl/gemma-2-2b-it-lora")

prompt = "What is under-fitting and overfitting in machine learning?"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)