README.md

---
library_name: mlc-llm
base_model: nvidia/OpenCodeReasoning-Nemotron-1.1-14B
tags:
- mlc-llm
- web-llm
---

# OpenCodeReasoning-Nemotron-1.1-14B-q3f16_1-MLC

This is the [OpenCodeReasoning-Nemotron-1.1-14B](https://huggingface.co/nvidia/OpenCodeReasoning-Nemotron-1.1-14B) model in MLC format `q3f16_1`.
The model can be used with [MLC-LLM](https://github.com/mlc-ai/mlc-llm) and [WebLLM](https://github.com/mlc-ai/web-llm).

## Example Usage

Before using the examples, please follow the [installation guide](https://llm.mlc.ai/docs/install/mlc_llm.html#install-mlc-packages).

### Chat CLI

```bash
mlc_llm chat HF://JackBinary/OpenCodeReasoning-Nemotron-1.1-14B-q3f16_1-MLC
````

### REST Server

```bash
mlc_llm serve HF://JackBinary/OpenCodeReasoning-Nemotron-1.1-14B-q3f16_1-MLC
```

### Python API

```python
from mlc_llm import MLCEngine

model = "HF://JackBinary/OpenCodeReasoning-Nemotron-1.1-14B-q3f16_1-MLC"
engine = MLCEngine(model)

for response in engine.chat.completions.create(
    messages=[{"role": "user", "content": "What is the meaning of life?"}],
    model=model,
    stream=True,
):
    for choice in response.choices:
        print(choice.delta.content, end="", flush=True)
print("\n")

engine.terminate()
```

## Documentation

For more on MLC LLM, visit the [documentation](https://llm.mlc.ai/docs/) and [GitHub repo](https://github.com/mlc-ai/mlc-llm).