Instructions to use smartvest-llc/mlx-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use smartvest-llc/mlx-models 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("smartvest-llc/mlx-models") 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 smartvest-llc/mlx-models with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "smartvest-llc/mlx-models"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "smartvest-llc/mlx-models" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "smartvest-llc/mlx-models", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
Download generation_config.json from smartvest-llc/mlx-models: direct link, hf CLI and curl.
- Browser
- Download file 215 Bytes
-
https://huggingface.co/smartvest-llc/mlx-models/resolve/main/generation_config.json
- Command line
-
hf download hf://smartvest-llc/mlx-models/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/smartvest-llc/mlx-models/resolve/main/generation_config.json
215 Bytes
| { | |
| "bos_token_id": 2, | |
| "cache_implementation": "hybrid", | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 1, | |
| 106 | |
| ], | |
| "pad_token_id": 0, | |
| "top_k": 64, | |
| "top_p": 0.95, | |
| "transformers_version": "4.50.0.dev0" | |
| } | |