README.md

metadata

base_model:
  - google/gemma-2-2b
  - google/gemma-2-2b-it
  - rinna/gemma-2-baku-2b
language:
  - ja
  - en
library_name: transformers
license: gemma
pipeline_tag: text-generation
tags:
  - gemma2
  - conversational
  - mlx
thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
base_model_relation: merge

mlx-community/gemma-2-baku-2b-it-4bit

The Model mlx-community/gemma-2-baku-2b-it-4bit was converted to MLX format from rinna/gemma-2-baku-2b-it using mlx-lm version 0.17.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/gemma-2-baku-2b-it-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)