---
license: other
license_name: llm-jp-3-172b-instruct3-tou
license_link: https://huggingface.co/llm-jp/llm-jp-3-172b-instruct3/raw/main/LICENSE
language:
- en
- ja
programming_language:
- C
- C++
- C#
- Go
- Java
- JavaScript
- Lua
- PHP
- Python
- Ruby
- Rust
- Scala
- TypeScript
pipeline_tag: text-generation
library_name: transformers
inference: false
tags:
- mlx
base_model: llm-jp/llm-jp-3-172b-instruct3
---

# schroneko/llm-jp-3-172b-instruct3-Q4-mlx

The Model [schroneko/llm-jp-3-172b-instruct3-Q4-mlx](https://huggingface.co/schroneko/llm-jp-3-172b-instruct3-Q4-mlx) was converted to MLX format from [llm-jp/llm-jp-3-172b-instruct3](https://huggingface.co/llm-jp/llm-jp-3-172b-instruct3) using mlx-lm version **0.20.5**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("schroneko/llm-jp-3-172b-instruct3-Q4-mlx")

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)
```