README.md

metadata

license: cc-by-nc-4.0
language:
  - en
pipeline_tag: text-generation
tags:
  - nvidia
  - AceMath
  - math
  - CoT
  - pytorch
  - mlx
  - mlx-my-repo
base_model: nvidia/AceMath-7B-Instruct

tslim1/AceMath-7B-Instruct-mlx-8Bit

The Model tslim1/AceMath-7B-Instruct-mlx-8Bit was converted to MLX format from nvidia/AceMath-7B-Instruct using mlx-lm version 0.26.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("tslim1/AceMath-7B-Instruct-mlx-8Bit")

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)