metadata

license: other
library_name: transformers
tags:
  - mlx
widget:
  - text: |
      <start_of_turn>user
      How does the brain work?<end_of_turn>
      <start_of_turn>model
inference:
  parameters:
    max_new_tokens: 200
extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: >-
  To access Gemma on Hugging Face, you’re required to review and agree to
  Google’s usage license. To do this, please ensure you’re logged-in to Hugging
  Face and click below. Requests are processed immediately.
extra_gated_button_content: Acknowledge license
license_name: gemma-terms-of-use
license_link: https://ai.google.dev/gemma/terms

Siddartha10/gemma-2b-it_sarvam_ai_dataset

This model was converted to MLX format from google/gemma-2b-it. 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("Siddartha10/gemma-2b-it_sarvam_ai_dataset")
response = generate(model, tokenizer, prompt="hello", verbose=True)