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---
license: mit
library_name: transformers
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
---
# tawankri/DeepCoder-1.5B-Preview-mlx-fp16
The Model [tawankri/DeepCoder-1.5B-Preview-mlx-fp16](https://huggingface.co/tawankri/DeepCoder-1.5B-Preview-mlx-fp16) 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 **0.22.1**.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load("tawankri/DeepCoder-1.5B-Preview-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)
```
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