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-3.1-13b-instruct4 | |
tags: | |
- mlx | |
# mlx-community/llm-jp-3.1-13b-instruct4 | |
This model [mlx-community/llm-jp-3.1-13b-instruct4](https://huggingface.co/mlx-community/llm-jp-3.1-13b-instruct4) was | |
converted to MLX format from [llm-jp/llm-jp-3.1-13b-instruct4](https://huggingface.co/llm-jp/llm-jp-3.1-13b-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-3.1-13b-instruct4") | |
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) | |
``` | |