Qwen2-72B-Instruct

completions

bytogetherai

Qwen2-72B-Instruct

completions

Published by: qwenProvider:

togetherai

Qwen 2 Instruct (72B) is a large-scale model by Qwen, offering advanced capabilities for complex language tasks.

Released

Jul 23, 2024

Knowledge

Jan 25, 2024

License

Tongyi Qianwen

Context

32768

Input

$1.2 / 1M tokens

Output

$1.2 / 1M tokens

Accepts: text

Returns: text

Released Jul 23, 2024Knowledge Cutoff: Jan 25, 2024License: Tongyi Qianwen

Context: 32768 Input: $1.2 / 1M tokensOutput: $1.2 / 1M tokensAccepts: textReturns: text

Access Qwen2-72B-Instruct through LangDB AI Gateway

Recommended

Integrate with qwen's Qwen2-72B-Instruct and 250+ other models through a unified API. Monitor usage, control costs, and enhance security.

Unified API

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99.9% Uptime

10,000+Monthly Requests

Benchmark Results for Qwen2-72B-Instruct

Category Performance Scores:

Academia: Score 30.25 (Top 72% - Rank #255)
Marketing: Score 49.39 (Top 36% - Rank #128)
Programming: Score 19.40 (Top 70% - Rank #248)
Science: Score 46.23 (Top 70% - Rank #248)
Writing: Score 45.11 (Top 42% - Rank #149)

Overall Performance: 38.07505555555556 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AIME	14.70	Top 58%	Mathematics
AA Coding Index	19.40	Top 70%	Programming
AAII	18.10	Top 73%	General
GPQA	42.40	Top 70%	STEM (Physics, Chemistry, Biology)
HLE	3.70	Top 85%	General Knowledge
HumanEval	86.00	Top 54%	Programming
LiveCodeBench	15.90	Top 77%	Programming
MATH-500	70.10	Top 66%	Mathematics
MMLU	82.30	Top 58%	General Knowledge
MMLU-Pro	63.30	Top 69%	General Knowledge
SciCode	22.90	Top 64%	Scientific

MMLU Score: 82.30 - Massive Multitask Language Understanding benchmark

HumanEval Score: 86.00 - Coding capability benchmark

GPQA Score: 42.40 - Graduate-level reasoning benchmark

Model Comparison:

Provider: togetherai

Model Type: completions

Context Size: 32768 tokens

Comparing against 353 models in the database

Category Scores

Benchmark Tests

View Other Benchmarks

AIME

14.7

Mathematics

AA Coding Index

19.4

Programming

AAII

18.1

General

GPQA

42.4

STEM (Physics, Chemistry, Biology)

HLE

3.7

General Knowledge

HumanEval

86.0

Programming

LiveCodeBench

15.9

Programming

MATH-500

70.1

Mathematics

MMLU

82.3

General Knowledge

MMLU-Pro

63.3

General Knowledge

SciCode

22.9

Scientific

Metric	AIME	AA Coding Index	AAII	GPQA	HLE	HumanEval	LiveCodeBench	MATH-500	MMLU	MMLU-Pro	SciCode
Score	14.7	19.4	18.1	42.4	3.7	86.0	15.9	70.1	82.3	63.3	22.9

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Code Examples

Integration samples and API usage

Code Samples for Qwen2-72B-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="Qwen2-72B-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: "Qwen2-72B-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": "Qwen2-72B-Instruct",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: Qwen2-72B-Instruct

Provider: togetherai

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

Create API Key

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Qwen2-72B-Instruct by togetherai - AI Model Details, Pricing, and Performance Metrics

Qwen2-72B-Instruct

Qwen2-72B-Instruct

Access Qwen2-72B-Instruct through LangDB AI Gateway

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

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