Instructions to use batmac/Phi-3-mini-128k-instruct-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use batmac/Phi-3-mini-128k-instruct-mlx-8bit with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("batmac/Phi-3-mini-128k-instruct-mlx-8bit") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use batmac/Phi-3-mini-128k-instruct-mlx-8bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "batmac/Phi-3-mini-128k-instruct-mlx-8bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "batmac/Phi-3-mini-128k-instruct-mlx-8bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "batmac/Phi-3-mini-128k-instruct-mlx-8bit", "messages": [ {"role": "user", "content": "Hello"} ] }'
| language: | |
| - en | |
| license: mit | |
| tags: | |
| - nlp | |
| - code | |
| - mlx | |
| license_link: https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE | |
| pipeline_tag: text-generation | |
| widget: | |
| - messages: | |
| - role: user | |
| content: Can you provide ways to eat combinations of bananas and dragonfruits? | |
| # batmac/Phi-3-mini-128k-instruct-mlx-8bit | |
| This model was converted to MLX format from [`microsoft/Phi-3-mini-128k-instruct`]() using mlx-lm version **0.12.0**. | |
| Refer to the [original model card](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) for more details on the model. | |
| ## Use with mlx | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("batmac/Phi-3-mini-128k-instruct-mlx-8bit") | |
| response = generate(model, tokenizer, prompt="hello", verbose=True) | |
| ``` | |