qwen-2.5-7b-instruct

completions

bydeepinfra

qwen-2.5-7b-instruct

completions

Published by: qwenProvider:

deepinfra

Qwen2.5 7B is the latest series of Qwen large language models. 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. Usage of this model is subject to [Tongyi Qianwen LICENSE AGREEMENT](https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE).

Released

Sep 19, 2024

Knowledge

Mar 23, 2024

License

Apache-2.0

Context

32768

Input

$0.04 / 1M tokens

Output

$0.1 / 1M tokens

Accepts: text

Returns: text

Released Sep 19, 2024Knowledge Cutoff: Mar 23, 2024License: Apache-2.0

Context: 32768 Input: $0.04 / 1M tokensOutput: $0.1 / 1M tokensAccepts: textReturns: text

Access qwen-2.5-7b-instruct through LangDB AI Gateway

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Benchmark Results for qwen-2.5-7b-instruct

Category Performance Scores:

Science: Score 45.11 (Top 74% - Rank #256)
Writing: Score 48.84 (Top 39% - Rank #135)

Overall Performance: 46.971875 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
GPQA	36.40	Top 80%	STEM (Physics, Chemistry, Biology)
HumanEval	84.80	Top 66%	Programming
MMLU-Pro	56.30	Top 75%	General Knowledge

HumanEval Score: 84.80 - Coding capability benchmark

GPQA Score: 36.40 - Graduate-level reasoning benchmark

Model Comparison:

Provider: deepinfra

Model Type: completions

Context Size: 32768 tokens

Comparing against 345 models in the database

Category Scores

Benchmark Tests

View Other Benchmarks

GPQA

36.4

STEM (Physics, Chemistry, Biology)

HumanEval

84.8

Programming

MMLU-Pro

56.3

General Knowledge

Metric	GPQA	HumanEval	MMLU-Pro
Score	36.4	84.8	56.3

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Code Examples

Integration samples and API usage

Code Samples for qwen-2.5-7b-instruct

Python SDK Example:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    api_key="<your_api_key>"
)

response = client.chat.completions.create(
    model="qwen-2.5-7b-instruct",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

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

TypeScript SDK Example:

import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: "https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    apiKey: "<your_api_key>"
});

const response = await client.chat.completions.create({
    model: "qwen-2.5-7b-instruct",
    messages: [
        { role: "user", content: "Hello, how are you?" }
    ]
});

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

cURL Example:

curl -X POST "https://api.us-east-1.langdb.ai/projects/<your_project_id>/v1/chat/completions" \
  -H "Authorization: Bearer <your_api_key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen-2.5-7b-instruct",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: qwen-2.5-7b-instruct

Provider: deepinfra

API Endpoint: $https://api.us-east-1.langdb.ai

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qwen-2.5-7b-instruct by deepinfra - AI Model Details, Pricing, and Performance Metrics

qwen-2.5-7b-instruct

qwen-2.5-7b-instruct

Access qwen-2.5-7b-instruct through LangDB AI Gateway

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

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