RichardErkhov/TheBlueObserver_-_Qwen2.5-1.5B-Instruct-MLX-gguf

Quantization made by Richard Erkhov.

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Qwen2.5-1.5B-Instruct-MLX - GGUF

• —Model creator: https://huggingface.co/TheBlueObserver/
• —Original model: https://huggingface.co/TheBlueObserver/Qwen2.5-1.5B-Instruct-MLX/

Original model description: --- base_model: theblueobserver/Qwen2.5-1.5B-Instruct language:

• —en libraryname: transformers license: apache-2.0 licenselink: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct/blob/main/LICENSE pipeline_tag: text-generation tags:
• —chat
• —mlx
• —mlx ---

theblueobserver/Qwen2.5-1.5B-Instruct-MLX

The Model theblueobserver/Qwen2.5-1.5B-Instruct-MLX was converted to MLX format from theblueobserver/Qwen2.5-1.5B-Instruct using mlx-lm version 0.20.2.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("theblueobserver/Qwen2.5-1.5B-Instruct-MLX")

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)