license: gemma
library_name: transformers
pipeline_tag: text-generation
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base_model: huihui-ai/Huihui-gemma-3n-E4B-it-abliterated
tags:
- automatic-speech-recognition
- automatic-speech-translation
- audio-text-to-text
- video-text-to-text
- abliterated
- uncensored
- mlx
- mlx-my-repo
mlx-community/Huihui-gemma-3n-E4B-it-abliterated-lm-4bit
The Model mlx-community/Huihui-gemma-3n-E4B-it-abliterated-lm-4bit was converted to MLX format from huihui-ai/Huihui-gemma-3n-E4B-it-abliterated using mlx-lm version 0.26.4.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Huihui-gemma-3n-E4B-it-abliterated-lm-4bit")
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)