---
license: mit
pipeline_tag: text-generation
tags:
- ocean
- text-generation-inference
- oceangpt
- mlx
- mlx-my-repo
language:
- en
- zh
datasets:
- zjunlp/OceanInstruct
base_model: zjunlp/OceanGPT-basic-2B-v0.1
---

# introvoyz041/OceanGPT-basic-2B-v0.1-mlx-4Bit

The Model [introvoyz041/OceanGPT-basic-2B-v0.1-mlx-4Bit](https://huggingface.co/introvoyz041/OceanGPT-basic-2B-v0.1-mlx-4Bit) was converted to MLX format from [zjunlp/OceanGPT-basic-2B-v0.1](https://huggingface.co/zjunlp/OceanGPT-basic-2B-v0.1) 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/OceanGPT-basic-2B-v0.1-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)
```