README.md

---
license: apache-2.0
pipeline_tag: text-generation
library_name: transformers
tags:
- mlx
base_model: ai21labs/AI21-Jamba2-Mini
---

# ssdataanalysis/AI21-Jamba2-Mini-mlx-fp16

The Model [ssdataanalysis/AI21-Jamba2-Mini-mlx-fp16](https://huggingface.co/ssdataanalysis/AI21-Jamba2-Mini-mlx-fp16) was converted to MLX format from [ai21labs/AI21-Jamba2-Mini](https://huggingface.co/ai21labs/AI21-Jamba2-Mini) using mlx-lm version **0.29.1**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("ssdataanalysis/AI21-Jamba2-Mini-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)
```