base_model: Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1 | |
language: | |
- en | |
- de | |
license: apache-2.0 | |
pipeline_tag: text-generation | |
tags: | |
- chat | |
- mlx | |
# mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32 | |
The Model [mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32](https://huggingface.co/mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32) was converted to MLX format from [Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1](https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1) using mlx-lm version **0.18.2**. | |
## Use with mlx | |
```bash | |
pip install mlx-lm | |
``` | |
```python | |
from mlx_lm import load, generate | |
model, tokenizer = load("mlx-community/Josiefied-Qwen2.5-0.5B-Instruct-abliterated-v1-float32") | |
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) | |
``` | |