Instructions to use ToPo-ToPo/DeepSeek-V4-Flash-0731-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use ToPo-ToPo/DeepSeek-V4-Flash-0731-mlx-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("ToPo-ToPo/DeepSeek-V4-Flash-0731-mlx-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 ToPo-ToPo/DeepSeek-V4-Flash-0731-mlx-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 "ToPo-ToPo/DeepSeek-V4-Flash-0731-mlx-4bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "ToPo-ToPo/DeepSeek-V4-Flash-0731-mlx-4bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ToPo-ToPo/DeepSeek-V4-Flash-0731-mlx-4bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
File size: 526 Bytes
ccfaee2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "user",
"content": "Hello"
},
{
"role": "assistant",
"reasoning_content": "The user said hello, I should greet back.",
"content": "Hi there! How can I help you?"
},
{
"role": "user",
"content": "What is the capital of France?"
},
{
"role": "assistant",
"reasoning_content": "The user asks about the capital of France. It is Paris.",
"content": "The capital of France is Paris."
}
] |