---
license: apache-2.0
language:
- en
base_model: SupraLabs/Supra-1.5-50M-Instruct-exp
pipeline_tag: text-generation
tags:
- Supra
- Project-Chimera
- chimera
- QnA
- GPT
- CPU
- tiny
- SLM
- open
- open-source
- 50M
- llama
- mlx
---

# usermma/Supra-1.5-50M-Instruct-exp-mlx-fp16

The Model [usermma/Supra-1.5-50M-Instruct-exp-mlx-fp16](https://huggingface.co/usermma/Supra-1.5-50M-Instruct-exp-mlx-fp16) was converted to MLX format from [SupraLabs/Supra-1.5-50M-Instruct-exp](https://huggingface.co/SupraLabs/Supra-1.5-50M-Instruct-exp) using mlx-lm version **0.31.3**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("usermma/Supra-1.5-50M-Instruct-exp-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)
```