---
language:
- en
license: mit
library_name: transformers
pipeline_tag: text-generation
tags:
- fableforge
- agent
- code-generation
- tool-use
- reasoning
- shell
- mlx
- mlx-my-repo
base_model: fableforge-ai/ShellWhisperer-1.5B
---

# usermma/ShellWhisperer-1.5B-mlx-2Bit

The Model [usermma/ShellWhisperer-1.5B-mlx-2Bit](https://huggingface.co/usermma/ShellWhisperer-1.5B-mlx-2Bit) was converted to MLX format from [fableforge-ai/ShellWhisperer-1.5B](https://huggingface.co/fableforge-ai/ShellWhisperer-1.5B) 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("usermma/ShellWhisperer-1.5B-mlx-2Bit")

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)
```