---
library_name: mlc-llm
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
tags:
- mlc-llm
- web-llm
- llama-3.1
- instruct
- q4f16_1
---

# ReelevateLM-q4f16

This is the [Meta Llama 3.1 Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) model fine‑tuned with LoRA and converted to MLC format `q4f16_1`.

The model can be used in:

* [MLC-LLM](https://github.com/mlc-ai/mlc-llm)
* [WebLLM](https://github.com/mlc-ai/web-llm)

## Example Usage

Before running any examples, install MLC LLM by following the [installation documentation](https://llm.mlc.ai/docs/install/mlc_llm.html#install-mlc-packages).

### Chat (CLI)

```bash
mlc_llm chat HF://pr0methium/ReelevateLM-q4f16_1
```

### REST Server

```bash
mlc_llm serve HF://pr0methium/ReelevateLM-q4f16_1
```

### Python API

```python
from mlc_llm import MLCEngine

model = "HF://pr0methium/ReelevateLM-q4f16_1"
engine = MLCEngine(model)

for response in engine.chat.completions.create(
    messages=[{"role": "user", "content": "Write me a 30 second reel story…"}],
    model=model,
    stream=True,
):
    for choice in response.choices:
        print(choice.delta.content, end="", flush=True)
print()

engine.terminate()
```

## Documentation

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