| license: mit | |
| license_link: https://huggingface.co/huihui-ai/phi-4-abliterated/resolve/main/LICENSE | |
| language: | |
| - en | |
| base_model: huihui-ai/phi-4-abliterated | |
| pipeline_tag: text-generation | |
| tags: | |
| - phi | |
| - nlp | |
| - math | |
| - code | |
| - chat | |
| - conversational | |
| - abliterated | |
| - uncensored | |
| - mlx | |
| - mlx-my-repo | |
| inference: | |
| parameters: | |
| temperature: 0 | |
| widget: | |
| - messages: | |
| - role: user | |
| content: How should I explain the Internet? | |
| library_name: transformers | |
| # Felladrin/phi-4-abliterated-Q8-mlx | |
| The Model [Felladrin/phi-4-abliterated-Q8-mlx](https://huggingface.co/Felladrin/phi-4-abliterated-Q8-mlx) was converted to MLX format from [huihui-ai/phi-4-abliterated](https://huggingface.co/huihui-ai/phi-4-abliterated) using mlx-lm version **0.20.5**. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("Felladrin/phi-4-abliterated-Q8-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) | |
| ``` | |