Image-Text-to-Text
MLX
Safetensors
English
French
gemma4
mlx-vlm
vlm
gemma
apple-silicon
quantized
conversational
4-bit precision
Instructions to use TyKaoz/gemma-4-E4B-it-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TyKaoz/gemma-4-E4B-it-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("TyKaoz/gemma-4-E4B-it-4bit") config = load_config("TyKaoz/gemma-4-E4B-it-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 TyKaoz/gemma-4-E4B-it-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 "TyKaoz/gemma-4-E4B-it-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": "TyKaoz/gemma-4-E4B-it-4bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use TyKaoz/gemma-4-E4B-it-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 "TyKaoz/gemma-4-E4B-it-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 TyKaoz/gemma-4-E4B-it-4bit
Run Hermes
hermes
Gemma 4 E4B Instruct — 4-bit MLX
4-bit MLX quantization of
google/gemma-4-E4B-it, for Apple Silicon (~4.9 GB).
Vision-language model — run it with mlx-vlm, not mlx-lm.
Usage
pip install -U mlx-vlm
python -m mlx_vlm.generate \
--model TyKaoz/gemma-4-E4B-it-4bit \
--prompt "Explique la quantization en une phrase." \
--max-tokens 200
| Base | Tool | Precision | Size |
|---|---|---|---|
google/gemma-4-E4B-it |
mlx-vlm |
4-bit · group 64 | ~4.9 GB |
By TyKaoz — privacy-first native macOS LLM chat client. Apache 2.0, inherited from the base model.
- Downloads last month
- 19
Model size
2B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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4-bit