metadata

library_name: transformers
tags:
  - mlx
  - mlx-my-repo
base_model: mlabonne/gemma-3-1b-it-abliterated

erichartford/gemma-3-1b-it-abliterated-mlx-8Bit

The Model erichartford/gemma-3-1b-it-abliterated-mlx-8Bit was converted to MLX format from mlabonne/gemma-3-1b-it-abliterated using mlx-lm version 0.22.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("erichartford/gemma-3-1b-it-abliterated-mlx-8Bit")

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)