A state-of-the-art 67B-parameter MoE LLM with o1-style reasoning licensed for commercial use
DeepSeek-R1은 SQLang으로 최적화되었으며 OpenAI 호환 API 엔드포인트를 사용합니다.
import httpx
import os
MODEL_ID = "abcd1234" # Replace with your model ID
API_KEY = os.environ["CORE_API_KEY"]
resp = httpx.post(
f"https://api.core.today/v1/models/{MODEL_ID}/predict",
headers={"Authorization": f"Bearer {API_KEY}"},
json={
"model": "deepseek_v3",
"messages": [
{"role": "system", "content": "You are a helpful AI assistant."},
{"role": "user", "content": "What weighs more, a pound of bricks or a pound of feathers?"}
]
}
){
"id": "e454c6a1db3954078f159cf5dc6e4635",
"object": "chat.completion",
"created": 1713239845,
"model": "/models/deepseek_r1",
"choices": [
{
"index": 0,
"text": "Let's think through this step by step...",
"logprobs": null,
"finish_reason": "stop",
"matched_strs": []
}
],
"usage": {
"prompt_tokens": 57,
"total_tokens": 240,
"completion_tokens": 226,
"prompt_token_details": null
}
}





Avoid rethinking through complex deployment processes. Deploy battle-tested open-source models and take advantage of optimized serving for your own models.
$ core init -e example-stable-diffusion-2-base -my-sd-model $ cd ./my-sd-model $ export CORE_API_KEY=REDACTED0YELLOWd0YKxsZAMEGAj6YE $ core push [INF] Serializing Stable Diffusion 2.1 model... [INF] Making contact with Core.today 👋 🌎 [INF] ⚡ Uploading model to Core.today ⚡ Upload progress: 100% ████████████████████ | 2.79G/2.79G