DeepSeek R1 Distill

by DeepSeek Chat · Thinking

DeepSeek R1 Distill is a family of smaller models distilled from DeepSeek R1's reasoning traces onto Qwen and Llama backbones. They bring much of R1's step-by-step reasoning to sizes that run on modest hardware.

API model name
deepseek-r1-distill-qwen:1.5b
Context window
128K tokens
Sizes
1.5B, 7B, 8B, 14B, 32B, 70B
Licence
MIT

Run DeepSeek R1 Distill

Install it on a Pendra worker, then call it through our SDK with your pdr_sk_ API key.

Read the quickstart

from pendra import Pendra

client = Pendra(api_key="pdr_sk_...")

response = client.chat.completions.create(
    model="deepseek-r1-distill-qwen:1.5b",
    messages=[{"role": "user", "content": "Hello!"}],
)

print(response.choices[0].message.content)

Run DeepSeek R1 Distill on infrastructure you trust.

Deploy a worker, install DeepSeek R1 Distill, and start serving it through one private API.