Instructions to use v-vovk/medgemma-ios-q4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use v-vovk/medgemma-ios-q4 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("v-vovk/medgemma-ios-q4") 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 v-vovk/medgemma-ios-q4 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "v-vovk/medgemma-ios-q4" --prompt "Once upon a time"
- Xet hash:
- 0ba1675551d5d857f3e16d80cc1a21d220ba9ba8cdcc16a36e7cde50184cdd35
- Size of remote file:
- 2.59 GB
- SHA256:
- dd794a634204557bec6639351d4e3fcfaa5717aca8599f5d7af7a3b29398684b
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