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"
Upload v9 calibrated q4 artifact (personal namespace)
Browse files- release-metadata.json +15 -0
release-metadata.json
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{
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"version": "medgemma-ios-q4-v9-fixture-calib",
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"repo_id": "v-vovk/medgemma-ios-q4",
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"archive_name": "medgemma-ios-q4-v9-fixture-calib.zip",
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"url": "https://huggingface.co/v-vovk/medgemma-ios-q4/resolve/main/medgemma-ios-q4-v9-fixture-calib.zip",
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"sha256": "dd794a634204557bec6639351d4e3fcfaa5717aca8599f5d7af7a3b29398684b",
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"size_bytes": 2594347078,
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"created_at": "2026-05-28T19:45:17.984918Z",
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"source_dir": "/Users/vovk/projects/crystalwise/crystalwise-ai/training/artifacts/medgemma_v9_fixture_aug_focus/q4",
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"required_files": [
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"config.json",
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"model.safetensors",
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"tokenizer.json"
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]
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}
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