mistral-7b-instruct

completions

bydeepinfra

mistral-7b-instruct

completions

Published by: mistralaiProvider:

deepinfra

A high-performing, industry-standard 7.3B parameter model, with optimizations for speed and context length. *Mistral 7B Instruct has multiple version variants, and this is intended to be the latest version.*

Released

Sep 27, 2023

Knowledge

Mar 31, 2023

Context

32768

Input

$0.03 / 1M tokens

Output

$0.05 / 1M tokens

Capabilities: tools

Accepts: text

Returns: text

Released Sep 27, 2023Knowledge Cutoff: Mar 31, 2023

Context: 32768 Input: $0.03 / 1M tokensOutput: $0.05 / 1M tokensCapabilities: toolsAccepts: textReturns: text

Access mistral-7b-instruct through LangDB AI Gateway

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Benchmark Results for mistral-7b-instruct

Category Performance Scores:

Academia: Score 9.35 (Top 98% - Rank #348)
Marketing: Score 17.77 (Top 97% - Rank #345)
Science: Score 18.86 (Top 98% - Rank #348)
Writing: Score 18.42 (Top 98% - Rank #348)

Overall Performance: 16.100138888888893 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AIME	0.00	Top 91%	Mathematics
AAII	1.00	Top 97%	General
GPQA	17.70	Top 98%	STEM (Physics, Chemistry, Biology)
HLE	4.30	Top 62%	General Knowledge
LiveCodeBench	4.60	Top 97%	Programming
MATH-500	12.10	Top 97%	Mathematics
MMLU-Pro	24.50	Top 98%	General Knowledge
SciCode	2.40	Top 97%	Scientific

GPQA Score: 17.70 - Graduate-level reasoning benchmark

Model Comparison:

Provider: deepinfra

Model Type: completions

Context Size: 32768 tokens

Comparing against 355 models in the database

Category Scores

Benchmark Tests

View Other Benchmarks

AIME

0.0

Mathematics

AAII

1.0

General

GPQA

17.7

STEM (Physics, Chemistry, Biology)

HLE

4.3

General Knowledge

LiveCodeBench

4.6

Programming

MATH-500

12.1

Mathematics

MMLU-Pro

24.5

General Knowledge

SciCode

2.4

Scientific

Metric	AIME	AAII	GPQA	HLE	LiveCodeBench	MATH-500	MMLU-Pro	SciCode
Score	0.0	1.0	17.7	4.3	4.6	12.1	24.5	2.4

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Code Examples

Integration samples and API usage

Code Samples for mistral-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="mistral-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: "mistral-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": "mistral-7b-instruct",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: mistral-7b-instruct

Provider: deepinfra

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

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

mistral-7b-instruct

mistral-7b-instruct

Access mistral-7b-instruct through LangDB AI Gateway

Category Scores

Benchmark Tests

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