Instructions to use mlx-community/Meta-Llama-3-8B-Instruct-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Meta-Llama-3-8B-Instruct-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/Meta-Llama-3-8B-Instruct-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
- LM Studio
- MLX LM
How to use mlx-community/Meta-Llama-3-8B-Instruct-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/Meta-Llama-3-8B-Instruct-4bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "mlx-community/Meta-Llama-3-8B-Instruct-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/Meta-Llama-3-8B-Instruct-4bit", "messages": [ {"role": "user", "content": "Hello"} ] }'
Are EOS tokens necessary in the dataset?
1
#6 opened almost 2 years ago
by
Corporate
Colab crashing when inferencing the model
#4 opened about 2 years ago
by
smfaizanahmed
Model doesn't stop generating.
1
#3 opened about 2 years ago
by
rb17
What format is this compiled under?
#2 opened about 2 years ago
by
lewenberg
Fix eos_token in tokenizer_config.json
7
#1 opened about 2 years ago
by
AlexCheema