README.md

metadata

quantized_by: bartowski
pipeline_tag: text-generation
license: apache-2.0
base_model: lmstudio-community/Qwen2.5-14B-Instruct-MLX-8bit
license_link: https://huggingface.co/Qwen/Qwen2.5-14B-Instruct/blob/main/LICENSE
language:
  - en
tags:
  - chat
  - mlx
  - mlx-my-repo
library_name: mlx

Fmuaddib/Qwen2.5-14B-Instruct-MLX-8bit-mlx-fp16

The Model Fmuaddib/Qwen2.5-14B-Instruct-MLX-8bit-mlx-fp16 was converted to MLX format from lmstudio-community/Qwen2.5-14B-Instruct-MLX-8bit using mlx-lm version 0.22.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("Fmuaddib/Qwen2.5-14B-Instruct-MLX-8bit-mlx-fp16")

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)