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---
pipeline_tag: text-generation
library_name: transformers
language:
- en
thumbnail: '"https://cdn-uploads.huggingface.co/production/uploads/62f93f9477b722f1866398c2/69escIKmO-vEzFUj_m0WX.png"'
tags:
- text-generation
- uncensored
- direct-answer
- information-retrieval
- general-knowledge
- unfiltered
- amoral-ai
- mlx
- mlx-my-repo
base_model: soob3123/GrayLine-Gemma3-4B
datasets:
- soob3123/GrayLine-QA
license: apache-2.0
---
# Disya/GrayLine-Gemma3-4B-mlx-4Bit
The Model [Disya/GrayLine-Gemma3-4B-mlx-4Bit](https://huggingface.co/Disya/GrayLine-Gemma3-4B-mlx-4Bit) was converted to MLX format from [soob3123/GrayLine-Gemma3-4B](https://huggingface.co/soob3123/GrayLine-Gemma3-4B) using mlx-lm version **0.28.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("Disya/GrayLine-Gemma3-4B-mlx-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)
```
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