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Local LLM Deployments

DeepSeek V3

DeepSeek V3 is a frontier-scale model with over 120 billion active parameters, built for deep reasoning, complex code generation, and mathematical problem-solving. Quantized to fit 128 GB unified memory on the Max tier.

Max+ requiredfrom $1999/mo
15 min provisioning
OpenAI-compatible API
Made by DeepSeek
License: DeepSeek License

Technical Specifications

Tap the icon next to any term for a plain-language explanation.

Model size120B+ parameters
Memory required128 GB
Speed (M4 Pro)~5 tok/s
QuantizationQ4_K_M
Context window131K tokens
Disk space70 GB
RuntimeOllama + MLX

Use Cases

  • Advanced mathematics
  • Scientific reasoning
  • Complex code generation
  • Multi-step logic problems
  • Research and analysis

What you get

  • Ollama runtime with DeepSeek V3 (Q4 quantized)
  • MLX backend for optimized inference
  • OpenAI-compatible API endpoint
  • Prometheus metrics

Start using it

curl
curl https://dep-<id>.macyou.cloud/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer mcy_live_<your-key>" \
  -d '{
    "model": "deepseek-v3",
    "messages": [{"role": "user", "content": "Hello!"}],
    "stream": true
  }'
Python (OpenAI SDK)
from openai import OpenAI

client = OpenAI(
    api_key="mcy_live_<your-key>",
    base_url="https://dep-<id>.macyou.cloud/v1"
)

response = client.chat.completions.create(
    model="deepseek-v3",
    messages=[{"role": "user", "content": "Hello!"}],
    stream=True
)

for chunk in response:
    print(chunk.choices[0].delta.content or "", end="")

Tags

LLMFrontierReasoningCode

Ready to deploy DeepSeek V3?

Up and running in 15 minutes on dedicated Apple Silicon.