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qwen/qwen2.5-7b-instruct

Qwen2.5 7B Instruct

qwen/qwen2.5-7b-instruct
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains. - Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots. - Long-context Support up to 128K tokens and can generate up to 8K tokens. - Multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
价格
输入$0.07/百万 tokens
输出$0.07/百万 tokens

使用以下代码示例来集成我们的API:

1from openai import OpenAI
2
3client = OpenAI(
4    api_key="<Your API Key>",
5    base_url="https://api.jiekou.ai/openai"
6)
7
8response = client.chat.completions.create(
9    model="qwen/qwen2.5-7b-instruct",
10    messages=[
11        {"role": "system", "content": "You are a helpful assistant."},
12        {"role": "user", "content": "Hello, how are you?"}
13    ],
14    max_tokens=32000,
15    temperature=0.7
16)
17
18print(response.choices[0].message.content)

信息

提供商
量化
bf16

支持的功能

上下文长度
32000
最大输出
32000
函数调用
支持
结构化输出
支持
Input Capabilities
text
Output Capabilities
text
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