Instructions to use mlx-community/translategemma-4b-it-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/translategemma-4b-it-8bit 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/translategemma-4b-it-8bit") 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/translategemma-4b-it-8bit 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/translategemma-4b-it-8bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "mlx-community/translategemma-4b-it-8bit" # 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/translategemma-4b-it-8bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
Download generation_config.json from mlx-community/translategemma-4b-it-8bit: direct link, hf CLI and curl.
- Browser
- Download file 128 Bytes
-
https://huggingface.co/mlx-community/translategemma-4b-it-8bit/resolve/main/generation_config.json
- Command line
-
hf download hf://mlx-community/translategemma-4b-it-8bit/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/mlx-community/translategemma-4b-it-8bit/resolve/main/generation_config.json
128 Bytes
| { | |
| "cache_implementation": "hybrid", | |
| "do_sample": true, | |
| "top_k": 64, | |
| "top_p": 0.95, | |
| "transformers_version": "4.57.3" | |
| } | |