TheBlueObserver_-_gemma-2-2b-it-MLX-gguf

Quantization made by Richard Erkhov.

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gemma-2-2b-it-MLX - GGUF

• Model creator: https://huggingface.co/TheBlueObserver/
• Original model: https://huggingface.co/TheBlueObserver/gemma-2-2b-it-MLX/

Original model description:

base_model: google/gemma-2-2b-it library_name: transformers license: gemma pipeline_tag: text-generation tags:

• conversational
• mlx extra_gated_heading: Access Gemma on Hugging Face extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging Face and click below. Requests are processed immediately. extra_gated_button_content: Acknowledge license

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TheBlueObserver/gemma-2-2b-it-MLX

The Model TheBlueObserver/gemma-2-2b-it-MLX was converted to MLX format from google/gemma-2-2b-it using mlx-lm version 0.20.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("TheBlueObserver/gemma-2-2b-it-MLX")

prompt="hello"

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

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