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DeepSeek R1 Distill Qwen 7B
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DeepSeek R1 Distill Qwen 7B

DeepSeek-R1-Distill-Qwen-7B
DeepSeek
The model provider is the Sophnet platform. DeepSeek-R1-Distill-Qwen-7B is a distilled model based on the Qwen architecture, optimized for high reasoning speed and low cost. It achieves approximately 70% of the performance of the original model at the 7B scale, while reducing response latency by 40%, making it suitable for real-time interactive scenarios. The API call cost is only one-quarter of the original Qwen-7B. It supports streaming output, making it suitable for applications like chatbots. It achieves an accuracy of over 65% on the GSM8K math task.

Pricing

  • Input Tokens: $0.06 /M tokens
  • Output Tokens: $0.12 /M tokens

Input Modalities

    Try this model

    Python
    import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://shkq.org/v1",
)

response = client.chat.completions.create(
    model="DeepSeek-R1-Distill-Qwen-7B",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

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

    Frequently asked questions

    What is DeepSeek R1 Distill Qwen 7B?

    The model provider is the Sophnet platform. DeepSeek-R1-Distill-Qwen-7B is a distilled model based on the Qwen architecture, optimized for high reasoning speed and low cost. It achieves approximately 70% of the performance of the original model at the 7B scale, while reducing response latency by 40%, making it suitable for real-time interactive scenarios. The API call cost is only one-quarter of the original Qwen-7B. It supports streaming output, making it suitable for applications like chatbots. It achieves an accuracy of over 65% on the GSM8K math task.

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