README.md

metadata

base_model: LGAI-EXAONE/EXAONE-Deep-7.8B
base_model_relation: finetune
license: other
license_name: exaone
license_link: LICENSE
language:
  - en
  - ko
tags:
  - lg-ai
  - exaone
  - exaone-deep
  - mlx
  - mlx-my-repo
pipeline_tag: text-generation
library_name: transformers

alexgusevski/EXAONE-Deep-7.8B-mlx-4Bit

The Model alexgusevski/EXAONE-Deep-7.8B-mlx-4Bit was converted to MLX format from LGAI-EXAONE/EXAONE-Deep-7.8B using mlx-lm version 0.21.5.

P.S. Don't forget to change the prompt template according to this https://github.com/LG-AI-EXAONE/EXAONE-Deep#lm-studio

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/EXAONE-Deep-7.8B-mlx-4Bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)