metadata

language:
  - en
license: apache-2.0
library_name: transformers
tags:
  - gpt
  - llm
  - large language model
  - h2o-llmstudio
  - mlx
thumbnail: >-
  https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
pipeline_tag: text-generation

mlx-community/h2o-danube2-1.8b-sft-4bit

This model was converted to MLX format from h2oai/h2o-danube2-1.8b-sft using mlx-lm version 0.8.0.

Model added by Prince Canuma.

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/h2o-danube2-1.8b-sft-4bit")
response = generate(model, tokenizer, prompt="hello", verbose=True)