Modelpublic

TheBlueObserver/Qwen2.5-1.5B-Instruct-4bit-128-GPTQ-MLX-LinearOnly

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

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Model Card

TheBlueObserver/Qwen2.5-1.5B-Instruct-4bit-128-GPTQ-MLX-LinearOnly

The Model TheBlueObserver/Qwen2.5-1.5B-Instruct-4bit-128-GPTQ-MLX-LinearOnly was converted to MLX format from Qwen/Qwen2-1.5B using mlx-lm version 0.20.2.

Use with mlx

bash

pip install mlx-lm

python

from mlx_lm import load, generate

model, tokenizer = load("TheBlueObserver/Qwen2.5-1.5B-Instruct-4bit-128-GPTQ-MLX-LinearOnly")

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)