README.md

metadata

datasets:
  - openbmb/UltraFeedback
language:
  - en
license: gemma
pipeline_tag: text-generation
tags:
  - mlx

cogbuji/MrGrammaticaOntology-gemma-2-9B-It-SPPO-Iter3-SCT-DRIFT-core-0.6.5

The Model cogbuji/MrGrammaticaOntology-gemma-2-9B-It-SPPO-Iter3-SCT-DRIFT-core-0.6.5 was converted to MLX format from UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3 using mlx-lm version 0.16.0.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("cogbuji/MrGrammaticaOntology-gemma-2-9B-It-SPPO-Iter3-SCT-DRIFT-core-0.6.5")
response = generate(model, tokenizer, prompt="hello", verbose=True)