license: mit | |
language: | |
- en | |
base_model: prithivMLmods/Phi-4-Empathetic | |
pipeline_tag: text-generation | |
library_name: transformers | |
tags: | |
- text-generation-inference | |
- phi | |
- phi3 | |
- llama | |
- human_like_reasoning | |
- mlx | |
- mlx-my-repo | |
# YuHaaa/Phi-4-Empathetic-mlx-8Bit | |
The Model [YuHaaa/Phi-4-Empathetic-mlx-8Bit](https://huggingface.co/YuHaaa/Phi-4-Empathetic-mlx-8Bit) was converted to MLX format from [prithivMLmods/Phi-4-Empathetic](https://huggingface.co/prithivMLmods/Phi-4-Empathetic) using mlx-lm version **0.22.1**. | |
## Use with mlx | |
```bash | |
pip install mlx-lm | |
``` | |
```python | |
from mlx_lm import load, generate | |
model, tokenizer = load("YuHaaa/Phi-4-Empathetic-mlx-8Bit") | |
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) | |
``` | |