---
license: apache-2.0
datasets:
- SupraLabs/chat-titles-filtered-115K
- SupraLabs/supra-wild-titles-130k
language:
- en
base_model: SupraLabs/supra-title-50m-pre
pipeline_tag: text-generation
tags:
- chat
- title
- chat-title
- title-generation
- title_generator
- topics
- topic-maker
- mlx
- mlx-my-repo
---

# megaarmos/supra-title-50m-pre-mlx-fp16

The Model [megaarmos/supra-title-50m-pre-mlx-fp16](https://huggingface.co/megaarmos/supra-title-50m-pre-mlx-fp16) was converted to MLX format from [SupraLabs/supra-title-50m-pre](https://huggingface.co/SupraLabs/supra-title-50m-pre) using mlx-lm version **0.31.2**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("megaarmos/supra-title-50m-pre-mlx-fp16")

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)
```