metadata

language:
  - en
license: apache-2.0
tags:
  - function calling
  - on-device language model
  - android
  - mlx
base_model: google/gemma-2b
inference: false
space: false
spaces: false
model-index:
  - name: Octopus-V2-2B
    results: []

mlx-community/Octopus-v2-4bit

This model was converted to MLX format from NexaAIDev/Octopus-v2 using mlx-lm version 0.7.0. 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/Octopus-v2-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)