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)

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Safetensors

Model size

834M params

Tensor type

FP16

U32

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Model tree for mitkox/gemma-2b-dpo-uncensored-4bit

Base model

google/gemma-2b-it

Finetuned

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Dataset used to train mitkox/gemma-2b-dpo-uncensored-4bit

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Evaluation results

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