Text Generation
MLX
Safetensors
gemma3n
automatic-speech-recognition
automatic-speech-translation
audio-text-to-text
video-text-to-text
conversational
Instructions to use mlx-community/gemma-3n-E4B-it-lm-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/gemma-3n-E4B-it-lm-bf16 with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("mlx-community/gemma-3n-E4B-it-lm-bf16") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use mlx-community/gemma-3n-E4B-it-lm-bf16 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "mlx-community/gemma-3n-E4B-it-lm-bf16"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "mlx-community/gemma-3n-E4B-it-lm-bf16" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mlx-community/gemma-3n-E4B-it-lm-bf16", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
Download tokenizer.json from mlx-community/gemma-3n-E4B-it-lm-bf16: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/mlx-community/gemma-3n-E4B-it-lm-bf16/resolve/main/tokenizer.json
- Command line
-
hf download hf://mlx-community/gemma-3n-E4B-it-lm-bf16/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/mlx-community/gemma-3n-E4B-it-lm-bf16/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- f15ffe2cae485b12303f4bb84d0430052d7312428679e59d84f2074ae482d0e5
- Size of remote file:
- 33.4 MB
- SHA256:
- b6c35ee648c07754b44cd9e371c75d4caa05c4504910b7ad29b1847ee9d8ba5d
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