Instructions to use EgorKodin/Huihui-gemma-4-12B-it-abliterated-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use EgorKodin/Huihui-gemma-4-12B-it-abliterated-mlx-4bit with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("EgorKodin/Huihui-gemma-4-12B-it-abliterated-mlx-4bit") config = load_config("EgorKodin/Huihui-gemma-4-12B-it-abliterated-mlx-4bit") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Pi
How to use EgorKodin/Huihui-gemma-4-12B-it-abliterated-mlx-4bit with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "EgorKodin/Huihui-gemma-4-12B-it-abliterated-mlx-4bit"
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "EgorKodin/Huihui-gemma-4-12B-it-abliterated-mlx-4bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use EgorKodin/Huihui-gemma-4-12B-it-abliterated-mlx-4bit with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "EgorKodin/Huihui-gemma-4-12B-it-abliterated-mlx-4bit"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default EgorKodin/Huihui-gemma-4-12B-it-abliterated-mlx-4bit
Run Hermes
hermes
Huihui-gemma-4-12B-it-abliterated MLX 4-bit
This repository contains an MLX 4-bit quantized conversion of huihui-ai/Huihui-gemma-4-12B-it-abliterated.
Model details
- Base model:
huihui-ai/Huihui-gemma-4-12B-it-abliterated - Format: MLX
- Quantization: 4-bit
- Quantization group size: 64
- Quantization mode: affine
- Compute dtype: bfloat16
- Library:
mlx-vlm - Task: image-text-to-text / vision-language generation
Conversion command
This MLX version was created with:
mlx_vlm.convert \
--hf-path ./Huihui-gemma-4-12B-it-abliterated-hf \
--mlx-path ./Huihui-gemma-4-12B-it-abliterated-mlx-4bit \
-q \
--q-bits 4 \
--q-group-size 64 \
--q-mode affine \
--dtype bfloat16
Notes
This is an abliterated model. Its refusal and safety behavior may differ from the original model.
Use responsibly. Test the model carefully before using it in public-facing, automated, or production environments.
License
This model follows the license terms of the original base model:
huihui-ai/Huihui-gemma-4-12B-it-abliterated
Please review the original model card and license before use.
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Model tree for EgorKodin/Huihui-gemma-4-12B-it-abliterated-mlx-4bit
Base model
google/gemma-4-12B