DeepSeek R1 Distill

Name: DeepSeek R1 Distill
Author: DeepSeek

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.

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

Run DeepSeek R1 Distill

Install it on a Pendra worker, then call it through the OpenAI-compatible API with a pdr_sk_ key.

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)

import { Pendra } from "pendra";

const client = new Pendra({ apiKey: "pdr_sk_..." });

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

console.log(response.choices[0].message.content);

Run DeepSeek R1 Distill on your own UK infrastructure

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

Get started free Read the quickstart

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