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---
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](https://huggingface.co/mlx-community/Josiefied-Health-Qwen3-8B-abliterated-v1-bf16) was
converted to MLX format from [Goekdeniz-Guelmez/Josiefied-Health-Qwen3-8B-abliterated-v1](https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Health-Qwen3-8B-abliterated-v1)
using mlx-lm version **0.25.0**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
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)
```