ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct-mlx-4Bit

ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct-mlx-4Bit

[!WARNING] This repository contains experimental models designed strictly for academic evaluation and research purposes. Critical Constraints: No Production Deployment: Experimental models must not be deployed in commercial, enterprise, or mission-critical environments under any circumstances. No Liability: Experimental models are provided "as-is" without warranties of any kind. The developers assume zero liability for downstream consequences, system integration failures, or regulatory non-compliance resulting from unauthorized deployment.

The Model ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct-mlx-4Bit was converted to MLX format from ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct using mlx-lm version 0.26.4.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct-mlx-4Bit")

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)