README.md

metadata

tags:
  - chat
  - mlx
base_model: Goekdeniz-Guelmez/Josiefied-Health-Qwen3-8B-abliterated-v1
pipeline_tag: text-generation
library_name: mlx

mlx-community/Josiefied-Health-Qwen3-8B-abliterated-v1-bf16

This model mlx-community/Josiefied-Health-Qwen3-8B-abliterated-v1-bf16 was converted to MLX format from Goekdeniz-Guelmez/Josiefied-Health-Qwen3-8B-abliterated-v1 using mlx-lm version 0.25.0.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Josiefied-Health-Qwen3-8B-abliterated-v1-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
    )

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