DeepSeek V4
Collection
8 items • Updated • 7
# Install MLX LM
uv tool install mlx-lm# Start the server
mlx_lm.server --model "mlx-community/DeepSeek-V4-Flash-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/DeepSeek-V4-Flash-4bit",
"messages": [
{"role": "user", "content": "Hello"}
]
}'Made possible by Lambda.ai ❤️
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/DeepSeek-V4-Flash-4bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
4-bit
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm# Interactive chat REPL mlx_lm.chat --model "mlx-community/DeepSeek-V4-Flash-4bit"