Text Generation
MLX
Safetensors
English
Chinese
gemma4_unified
quantized
mixed-precision
4bit
8bit
optiq
apple-silicon
gemma4
humanizer
text-rewriting
style-transfer
4-bit precision
Instructions to use mlx-community/humanizer-12b-OptiQ-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/humanizer-12b-OptiQ-4bit with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("mlx-community/humanizer-12b-OptiQ-4bit") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use mlx-community/humanizer-12b-OptiQ-4bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "mlx-community/humanizer-12b-OptiQ-4bit" --prompt "Once upon a time"
- Atomic Chat
Request: humanizer-12b-OptiQ-6bit quant
1
#1 opened 6 days ago
by
zhibo7