Text Generation
MLX
Safetensors
ouro
looped-language-model
reasoning
recurrent-depth
thinking
chain-of-thought
conversational
custom_code
4-bit precision
Instructions to use mlx-community/Ouro-1.4B-Thinking-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Ouro-1.4B-Thinking-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/Ouro-1.4B-Thinking-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/Ouro-1.4B-Thinking-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/Ouro-1.4B-Thinking-4bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "mlx-community/Ouro-1.4B-Thinking-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/Ouro-1.4B-Thinking-4bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
Download special_tokens_map.json from mlx-community/Ouro-1.4B-Thinking-4bit: direct link, hf CLI and curl.
- Browser
- Download file 965 Bytes
-
https://huggingface.co/mlx-community/Ouro-1.4B-Thinking-4bit/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://mlx-community/Ouro-1.4B-Thinking-4bit/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/mlx-community/Ouro-1.4B-Thinking-4bit/resolve/main/special_tokens_map.json
965 Bytes
| { | |
| "additional_special_tokens": [ | |
| "<|endoftext|>", | |
| "<|im_start|>", | |
| "<|im_end|>", | |
| "<think>", | |
| "</think>", | |
| "<file_sep>", | |
| "<filename>", | |
| "<gh_stars>", | |
| "<issue_start>", | |
| "<issue_comment>", | |
| "<issue_closed>", | |
| "<jupyter_start>", | |
| "<jupyter_text>", | |
| "<jupyter_code>", | |
| "<jupyter_output>", | |
| "<jupyter_script>", | |
| "<empty_output>" | |
| ], | |
| "bos_token": { | |
| "content": "<|endoftext|>", | |
| "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": "<|im_end|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |