R1 Distill Qwen 7B

About R1 Distill Qwen 7B

DeepSeek R1 Distill Qwen 7B is the most compact reasoning-capable model in the R1 distillation family. With just 7 billion parameters, it brings genuine reasoning ability to resource-constrained environments. The model demonstrates surprising problem-solving capability for its size, handling mathematics and logical tasks through step-by-step reasoning. It runs efficiently on consumer GPUs and cost-effective cloud instances. The open weights enable on-device deployment and fine-tuning with minimal compute. For developers seeking reasoning capability in the smallest practical package, this distilled model proves that advanced AI reasoning doesn't require massive models. It's ideal for edge deployment, mobile applications, and high-volume scenarios where reasoning adds value but resources are limited.

Model Specifications

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🚀 Quick Start

Get started with R1 Distill Qwen 7B API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="deepseek/deepseek-r1-distill-qwen-7b",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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