README.md

metadata

license: other
license_name: qwen
license_link: https://huggingface.co/skt/A.X-4.0/blob/main/LICENSE
language:
  - en
  - ko
pipeline_tag: text-generation
library_name: mlx
model_id: skt/A.X-4.0
developers: SKT AI Model Lab
tags:
  - mlx
base_model: skt/A.X-4.0
model-index:
  - name: A.X-4.0
    results:
      - task:
          type: generate_until
          name: mmlu
        dataset:
          name: mmlu (chat CoT)
          type: hails/mmlu_no_train
        metrics:
          - type: exact_match
            value: 86.62
            name: exact_match
      - task:
          type: generate_until
          name: kmmlu
        dataset:
          name: kmmlu (chat CoT)
          type: HAERAE-HUB/KMMLU
        metrics:
          - type: exact_match
            value: 78.32
            name: exact_match

litmudoc/A.X-4.0-72B-MLX-Q4

This model litmudoc/A.X-4.0-72B-MLX-Q4 was converted to MLX format from skt/A.X-4.0 using mlx-lm version 0.25.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("litmudoc/A.X-4.0-72B-MLX-Q4")

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)