---
license: apache-2.0
language:
- en
- ja
programming_language:
- C
- C++
- C#
- Go
- Java
- JavaScript
- Lua
- PHP
- Python
- Ruby
- Rust
- Scala
- TypeScript
pipeline_tag: text-generation
library_name: mlx
inference: false
base_model: llm-jp/llm-jp-3.1-1.8b-instruct4
tags:
- mlx
---

# mlx-community/llm-jp-3.1-1.8b-instruct4-4bit

This model [mlx-community/llm-jp-3.1-1.8b-instruct4-4bit](https://huggingface.co/mlx-community/llm-jp-3.1-1.8b-instruct4-4bit) was
converted to MLX format from [llm-jp/llm-jp-3.1-1.8b-instruct4](https://huggingface.co/llm-jp/llm-jp-3.1-1.8b-instruct4)
using mlx-lm version **0.24.1**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/llm-jp-3.1-1.8b-instruct4-4bit")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```