README.md

metadata

base_model: google/gemma-2-9b-it
datasets:
  - wzhouad/gemma-2-ultrafeedback-hybrid
library_name: transformers
tags:
  - alignment-handbook
  - gemma
  - mlx

sigjhl/gemma-2-9b-it-WPO-HB-4bit

The Model sigjhl/gemma-2-9b-it-WPO-HB-4bit was converted to MLX format from wzhouad/gemma-2-9b-it-WPO-HB using mlx-lm version 0.18.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("sigjhl/gemma-2-9b-it-WPO-HB-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)