metadata
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 was converted to MLX format from soob3123/GrayLine-Gemma3-4B using mlx-lm version 0.28.3.
Use with mlx
pip install mlx-lm
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)