---
license: apache-2.0
base_model: NovachronoAI/LFM2.5-1.2B-Nova-Function-Calling
tags:
- function-calling
- liquid-neural-network
- unsloth
- tool-use
- gguf
- conversational
- mlx
datasets:
- NovachronoAI/Nova-Synapse-Function-Calling
library_name: mlx
pipeline_tag: text-generation
language:
- en
---

# alexgusevski/LFM2.5-1.2B-Nova-Function-Calling-mlx

This model [alexgusevski/LFM2.5-1.2B-Nova-Function-Calling-mlx](https://huggingface.co/alexgusevski/LFM2.5-1.2B-Nova-Function-Calling-mlx) was
converted to MLX format from [NovachronoAI/LFM2.5-1.2B-Nova-Function-Calling](https://huggingface.co/NovachronoAI/LFM2.5-1.2B-Nova-Function-Calling)
using mlx-lm version **0.30.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("alexgusevski/LFM2.5-1.2B-Nova-Function-Calling-mlx")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True, return_dict=False,
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```