README.md

metadata

base_model: arcee-ai/Virtuoso-Medium-v2
library_name: transformers
tags:
  - mergekit
  - merge
  - mlx
license: apache-2.0

mlx-community/Virtuoso-Medium-v2-6bit

The Model mlx-community/Virtuoso-Medium-v2-6bit was converted to MLX format from arcee-ai/Virtuoso-Medium-v2 using mlx-lm version 0.21.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Virtuoso-Medium-v2-6bit")

prompt = "hello"

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

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