language:

• en license: cc-by-nc-4.0 library_name: transformers tags:
• generated_from_trainer
• axolotl
• gemma
• instruct
• finetune
• chatml
• gpt4
• synthetic data
• distillation
• mlx datasets:
• mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha base_model: google/gemma-2b-it pipeline_tag: text-generation model-index:
• name: gemma-2b-openhermes results: []

mitkox/gemma-2b-dpo-uncensored-4bit

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mitkox/gemma-2b-dpo-uncensored-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)