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---
license: mit
library_name: mlx
datasets:
- PrimeIntellect/verifiable-coding-problems
- likaixin/TACO-verified
- livecodebench/code_generation_lite
language:
- en
base_model: gingofthesouth/DeepCoder-1.5B-MLX
pipeline_tag: text-generation
tags:
- mlx
- mlx
- mlx-my-repo
---
# introvoyz041/DeepCoder-1.5B-MLX-mlx-4Bit
The Model [introvoyz041/DeepCoder-1.5B-MLX-mlx-4Bit](https://huggingface.co/introvoyz041/DeepCoder-1.5B-MLX-mlx-4Bit) was converted to MLX format from [gingofthesouth/DeepCoder-1.5B-MLX](https://huggingface.co/gingofthesouth/DeepCoder-1.5B-MLX) using mlx-lm version **0.28.3**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("introvoyz041/DeepCoder-1.5B-MLX-mlx-4Bit")
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)
```
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