Instructions to use mlx-community/1.5-Pints-16K-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/1.5-Pints-16K-v0.1 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/1.5-Pints-16K-v0.1") 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/1.5-Pints-16K-v0.1 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/1.5-Pints-16K-v0.1"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "mlx-community/1.5-Pints-16K-v0.1" # 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/1.5-Pints-16K-v0.1", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
| { | |
| "additional_special_tokens": [ | |
| "<|end_of_turn|>", | |
| "<|im_start|>", | |
| "</s>", | |
| "[INST]", | |
| "[/INST]", | |
| "<<SYS>>", | |
| "<</SYS>>", | |
| "<|user|>", | |
| "<|system|>", | |
| "<|assistant|>", | |
| "<|begin_of_text|>", | |
| "<|start_header_id|>", | |
| "<|end_header_id|>", | |
| "<|eot_id|>", | |
| "<|reserved_0|>", | |
| "<|reserved_1|>", | |
| "<|reserved_2|>", | |
| "<|reserved_3|>", | |
| "<|reserved_4|>", | |
| "<|reserved_5|>", | |
| "<|reserved_6|>", | |
| "<|reserved_7|>", | |
| "<|reserved_8|>", | |
| "<|reserved_9|>", | |
| "<|reserved_10|>", | |
| "<|reserved_11|>", | |
| "<|reserved_12|>", | |
| "<|reserved_13|>", | |
| "<|reserved_14|>", | |
| "<|reserved_15|>", | |
| "<|reserved_16|>", | |
| "<|reserved_17|>", | |
| "<|reserved_18|>", | |
| "<|reserved_19|>", | |
| "<|reserved_20|>", | |
| "<|reserved_21|>", | |
| "<|reserved_22|>", | |
| "<|reserved_23|>", | |
| "<|reserved_24|>", | |
| "<|reserved_25|>", | |
| "<|reserved_26|>", | |
| "<|reserved_27|>", | |
| "<|reserved_28|>", | |
| "<|reserved_29|>", | |
| "<|reserved_30|>", | |
| "<|reserved_31|>", | |
| "<|reserved_32|>", | |
| "<|reserved_33|>", | |
| "<|reserved_34|>", | |
| "<|reserved_35|>", | |
| "<|reserved_36|>", | |
| "<|reserved_37|>", | |
| "<|reserved_38|>", | |
| "<|reserved_39|>", | |
| "<|reserved_40|>", | |
| "<|reserved_41|>", | |
| "<|reserved_42|>", | |
| "<|reserved_43|>", | |
| "<|reserved_44|>", | |
| "<|reserved_45|>", | |
| "<|reserved_46|>", | |
| "<|reserved_47|>", | |
| "<|reserved_48|>" | |
| ], | |
| "bos_token": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|im_end|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|pad|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |