Instructions to use Ilides/cortex-0.3-0.02b-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Ilides/cortex-0.3-0.02b-mlx 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("Ilides/cortex-0.3-0.02b-mlx") 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 Ilides/cortex-0.3-0.02b-mlx with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "Ilides/cortex-0.3-0.02b-mlx"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "Ilides/cortex-0.3-0.02b-mlx" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Ilides/cortex-0.3-0.02b-mlx", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
Download config.json from Ilides/cortex-0.3-0.02b-mlx: direct link, hf CLI and curl.
- Browser
- Download file 652 Bytes
-
https://huggingface.co/Ilides/cortex-0.3-0.02b-mlx/resolve/main/config.json
- Command line
-
hf download hf://Ilides/cortex-0.3-0.02b-mlx/config.json
-
curl -L -o config.json https://huggingface.co/Ilides/cortex-0.3-0.02b-mlx/resolve/main/config.json
652 Bytes
| { | |
| "_name_or_path": "cortex-0.3-0.02b", | |
| "architectures": [ | |
| "CortexForCausalLM" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_cortex.CortexConfig", | |
| "AutoModelForCausalLM": "modeling_cortex.CortexForCausalLM", | |
| "AutoTokenizer": "tokenization_cortex.CortexTokenizer" | |
| }, | |
| "bos_token_id": 0, | |
| "dtype": "float32", | |
| "eos_token_id": 0, | |
| "hidden_size": 384, | |
| "initializer_std": 0.02, | |
| "intermediate_size": 1536, | |
| "max_position_embeddings": 512, | |
| "model_type": "cortex", | |
| "num_attention_heads": 8, | |
| "num_hidden_layers": 6, | |
| "pad_token_id": 1, | |
| "rms_norm_eps": 1e-05, | |
| "transformers_version": "4.57.6", | |
| "vocab_size": 16384 | |
| } |