README.md

metadata

license: other
tags:
  - alignment-handbook
  - trl
  - dpo
  - generated_from_trainer
  - mlx
datasets:
  - argilla/dpo-mix-7k
license_name: gemma-terms-of-use
license_link: https://ai.google.dev/gemma/terms
base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
pipeline_tag: text-generation
model-index:
  - name: zephyr-7b-gemma
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MT-Bench
          type: unknown
        metrics:
          - type: unknown
            value: 7.81
            name: score
        source:
          url: https://huggingface.co/spaces/lmsys/mt-bench

mlx-community/zephyr-7b-gemma-v0.1-4bit

This model was converted to MLX format from HuggingFaceH4/zephyr-7b-gemma-v0.1. Refer to the original model card for more details on the model.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/zephyr-7b-gemma-v0.1-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)