library_name: transformers
license: apache-2.0
pipeline_tag: text-generation
base_model:
- yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1
tags: - abliterated
- uncensored
- gemma4
- coding
- code
- reasoning
- thinking
- safetensors
- transformers
kang-heewon/Huihui-gemma-4-12B-coder-fable5-composer2.5-v1-abliterated-oQ4-MLX
This model kang-heewon/Huihui-gemma-4-12B-coder-fable5-composer2.5-v1-abliterated-oQ4-MLX was
converted to MLX format from ['yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1']
using mlx-lm version 0.31.3.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("kang-heewon/Huihui-gemma-4-12B-coder-fable5-composer2.5-v1-abliterated-oQ4-MLX")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)