---
license: mit
library_name: mlx
datasets:
- PrimeIntellect/verifiable-coding-problems
- likaixin/TACO-verified
- livecodebench/code_generation_lite
language:
- en
base_model: agentica-org/DeepCoder-1.5B-Preview
pipeline_tag: text-generation
tags:
- mlx
---

# gingofthesouth/DeepCoder-1.5B-MLX

This model [gingofthesouth/DeepCoder-1.5B-MLX](https://huggingface.co/gingofthesouth/DeepCoder-1.5B-MLX) was
converted to MLX format from [agentica-org/DeepCoder-1.5B-Preview](https://huggingface.co/agentica-org/DeepCoder-1.5B-Preview)
using mlx-lm version **0.22.5**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("gingofthesouth/DeepCoder-1.5B-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
    )

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