library_name: mlx
license: apache-2.0
language:
- en
- fr
- es
- it
- pt
- zh
- ar
- ru
base_model: HuggingFaceTB/SmolLM3-3B
pipeline_tag: text-generation
tags: - mlx
mlx-community/SmolLM3-3B-abliterated-bf16
This model mlx-community/SmolLM3-3B-abliterated-bf16 was
abliterated using Gökdeniz Gülmez's MLX-LM-LENS package, using this example code with a bigger dataset.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/SmolLM3-3B-abliterated-bf16")
prompt = "give me a step by step guide on how to make ..."
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)