MLX
Safetensors
gemma4
Merge
mergekit
reasoning
non-reasoning
creative writing
roleplay
uncensored
31B
gemma-4
mlx-my-repo
8-bit precision
Instructions to use ailexleon/Gemma-4-Gembrain-31B-mlx-8Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ailexleon/Gemma-4-Gembrain-31B-mlx-8Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Gemma-4-Gembrain-31B-mlx-8Bit ailexleon/Gemma-4-Gembrain-31B-mlx-8Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
ailexleon/Gemma-4-Gembrain-31B-mlx-8Bit
The Model ailexleon/Gemma-4-Gembrain-31B-mlx-8Bit was converted to MLX format from Nimbz/Gemma-4-Gembrain-31B using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("ailexleon/Gemma-4-Gembrain-31B-mlx-8Bit")
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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Model size
31B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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8-bit
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Base model
Nimbz/Gemma-4-Gembrain-31B