Instructions to use Goekdeniz-Guelmez/Josiefied-Gemma-4-12B-DLPO-ORPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Goekdeniz-Guelmez/Josiefied-Gemma-4-12B-DLPO-ORPO 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("Goekdeniz-Guelmez/Josiefied-Gemma-4-12B-DLPO-ORPO") 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 Goekdeniz-Guelmez/Josiefied-Gemma-4-12B-DLPO-ORPO with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "Goekdeniz-Guelmez/Josiefied-Gemma-4-12B-DLPO-ORPO" --prompt "Once upon a time"

- Xet hash:
- 11bbca58f041619dd7f4a9b0a58b1a5aef198ce48353032d2c72d77afe76e3c9
- Size of remote file:
- 2.11 MB
- SHA256:
- 3297b12fb3c1b38ade640d35f610d889c390ab1d942489c0b2823ef7eae5d5ce
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