Llama 3 70b Instruct | Meta LLM API

Name: Llama 3 70b Instruct API
Brand: meta-llama
Price: 0.51 USD
Availability: InStock

API 사용법

다음 코드 예시를 사용해 API와 연동하세요:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="meta-llama/llama-3-70b-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

모델 소개

Meta-Llama llama-3-70b-instruct

Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors

Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 70B instruct-tuned version was optimized for high quality dialogue usecases.

It has demonstrated strong performance compared to leading closed-source models in human evaluations.

To read more about the model release, click here. Usage of this model is subject to Meta's Acceptable Use Policy.

Why It Looks Great

Large Language Model architecture for efficient processing
8192 context window for long document handling
Competitive pricing at $0.6/$0.8 per million tokens

Key Features

Context Window: 8192 tokens
Max Output: 8000 tokens
Vision: Supported
Function Calling: Supported

Specifications

Specification	Value
Provider	Meta-Llama
Model Type	Large Language Model (LLM)
Architecture	N/A
Context Window	8192 tokens
Max Output	8000 tokens
Input	Text
Output	Text
Vision	Supported
Function Calling	Supported

Pricing

Token Type	Cost per Million Tokens
Input	$0.6
Output	$0.8

How to Use

Write your prompt — describe the task, provide context, and specify desired output format.
Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: meta-llama/llama-3-70b-instruct

API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="meta-llama/llama-3-70b-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "meta-llama/llama-3-70b-instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: meta-llama/llama-3-70b-instruct
Provider: Meta-Llama

Llama 3 70b Instruct에 대해 자주 묻는 질문

Llama 3 70b Instruct API 비용은 얼마인가요?+

WaveSpeedAI 가격: 입력 토큰 100만 개당 $0.51, 출력 토큰 100만 개당 $0.74. 프롬프트 캐싱과 배치 처리는 별도로 청구되며 긴 반복 작업에서 실질 비용을 줄여 줍니다.

Llama 3 70b Instruct의 컨텍스트 윈도우는 얼마나 되나요?+

Llama 3 70b Instruct은 요청당 최대 8K 컨텍스트 토큰과 최대 8K 출력 토큰을 지원합니다.

Llama 3 70b Instruct은 OpenAI 호환인가요?+

네. WaveSpeedAI는 OpenAI 호환 엔드포인트 https://llm.wavespeed.ai/v1을 통해 Llama 3 70b Instruct을 제공합니다. 공식 OpenAI SDK의 base URL을 이 주소로 변경하고 WaveSpeedAI API 키를 사용하면 코드 변경 없이 사용할 수 있습니다.

Llama 3 70b Instruct을 어떻게 시작하나요?+

WaveSpeedAI에 로그인하고 Access Keys에서 API 키를 만든 다음, 위에 표시된 모델 ID로 https://llm.wavespeed.ai/v1/chat/completions에 요청을 보내세요. 신규 계정은 Llama 3 70b Instruct을 평가할 수 있는 무료 크레딧을 받습니다.

가격