metadata

pipeline_tag: text-generation
inference: true
license: apache-2.0
datasets:
  - simplescaling/s1K-1.1
base_model: simplescaling/s1.1-32B
library_name: transformers
tags:
  - mlx

mlx-community/simplescaling-s1.1-32B-6bit

The Model mlx-community/simplescaling-s1.1-32B-6bit was converted to MLX format from simplescaling/s1.1-32B using mlx-lm version 0.21.1 by Focused.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/simplescaling-s1.1-32B-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)

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