scope-guard-4B-q-2601-mlx-bf16/README.md

base_model, tags, license, language, inference, library_name, pipeline_tag

base_model	tags	license	language	inference	library_name	pipeline_tag
principled-intelligence/scope-guard-4B-q-2601	transformers safety guardrails guardrailing scope mlx	apache-2.0	en it fr es de	false	mlx	text-generation

ivanfioravanti/scope-guard-4B-q-2601-mlx-bf16

This model ivanfioravanti/scope-guard-4B-q-2601-mlx-bf16 was converted to MLX format from principled-intelligence/scope-guard-4B-q-2601 using mlx-lm version 0.31.3.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("ivanfioravanti/scope-guard-4B-q-2601-mlx-bf16")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True, return_dict=False,
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)