Instructions to use mlx-community/phi-2-super-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/phi-2-super-4bit 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("mlx-community/phi-2-super-4bit") 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 mlx-community/phi-2-super-4bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "mlx-community/phi-2-super-4bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "mlx-community/phi-2-super-4bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mlx-community/phi-2-super-4bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
Download tokenizer_config.json from mlx-community/phi-2-super-4bit: direct link, hf CLI and curl.
- Browser
- Download file 7.87 kB
-
https://huggingface.co/mlx-community/phi-2-super-4bit/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://mlx-community/phi-2-super-4bit/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/mlx-community/phi-2-super-4bit/resolve/main/tokenizer_config.json
7.87 kB
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| "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token + ' ' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}", | |
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| "pad_token": "<|endoftext|>", | |
| "tokenizer_class": "CodeGenTokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |