Instructions to use N8Programs/talkie-box with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use N8Programs/talkie-box 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("N8Programs/talkie-box") 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 N8Programs/talkie-box with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "N8Programs/talkie-box"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "N8Programs/talkie-box" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "N8Programs/talkie-box", "messages": [ {"role": "user", "content": "Hello"} ] }'
| { | |
| "architectures": [ | |
| "TalkieForCausalLM" | |
| ], | |
| "eos_token_id": [ | |
| 65535, | |
| 56180 | |
| ], | |
| "head_dim": 128, | |
| "hidden_size": 5120, | |
| "intermediate_size": 13696, | |
| "max_position_embeddings": 2048, | |
| "model_file": "talkie_mlx.py", | |
| "num_attention_heads": 40, | |
| "num_hidden_layers": 40, | |
| "pad_token_id": 65535, | |
| "rms_norm_eps": 1.1920928955078125e-07, | |
| "rope_theta": 1000000.0, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "bfloat16", | |
| "vocab_size": 65536 | |
| } | |