license: gemma
library_name: mlx
pipeline_tag: text-generation
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base_model: huihui-ai/gemma-3-1b-it-abliterated
tags:
- chat
- abliterated
- uncensored
- mlx
oskarraszkiewicz/gemma-3-1b-it-abliterated-mlx-2bit
This model oskarraszkiewicz/gemma-3-1b-it-abliterated-mlx-2bit was
converted to MLX format from huihui-ai/gemma-3-1b-it-abliterated
using mlx-lm version 0.22.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("oskarraszkiewicz/gemma-3-1b-it-abliterated-mlx-2bit")
prompt = "hello"
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)