Nemotron 3 Super 120B API nasıl kullanılır?

Nemotron 3 Super 120B modelini Parel API ile kullanmak için OpenAI SDK'sını yükleyin, base_url olarak https://api.parel.cloud/v1 belirleyin ve model parametresine "nemotron-3-super-120b" yazın. Python, Node.js, Java, C# ve cURL desteklenir.

Nemotron 3 Super 120B KVKK uyumlu mu?

Nemotron 3 Super 120B AWS Bedrock (us-east-1) sunucularında çalışır. KVKK uyumlu alternatifler için Parel edge modellerine bakabilirsiniz.

NVIDIA

Nemotron 3 Super 120B

Kod yazma ve karmaşık akıl yürütme için

Input 1.300 kredi/1M token

Output 2.000 kredi/1M token

Playground'da Dene

LLM 131K token Reasoning Tool Use Coding

Hakkında

Nemotron 3 Super 120B, NVIDIA tarafından geliştirilen verimli bir MoE yapay zeka modelidir. 120B toplam parametre (12B aktif) ile kod yazımı, reasoning ve çok dilli görevlerde güçlü performans sunar. MoE mimarisi sayesinde büyük modellerin kalitesini düşük kaynak tüketimi ile sağlar. Parel API ile kodlama, analiz ve çok dilli kurumsal projelerde kullanılabilir.

Kullanım Alanları

› Chatbot ve müşteri destek otomasyonu
› İçerik üretimi ve metin özeti
› Karmaşık mantık ve adım adım çözüm gerektiren görevler
› Kod üretimi, inceleme ve hata ayıklama
› RAG (Retrieval-Augmented Generation) sistemleri

Aile

Nemotron 3

Mimari

Transformer (MoE)

Parametreler

120B (12B active)

Lisans

NVIDIA Open Model License

Veri Merkezi

AWS Bedrock (us-east-1)

Provider: NVIDIA
Tür: LLM
Context: 131K token
Model ID: nemotron-3-super-120b
Input Fiyat: 1.300 kredi/1M token
Output Fiyat: 2.000 kredi/1M token

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OpenAI SDK ile dakikalar içinde entegre edin.

Ücretsiz Başla Tüm Modeller

Authentication #

API anahtarınızı ortam değişkeni olarak tanımlayın.

python

import os
os.environ["OPENAI_API_KEY"] = "pk-..."

Kurulum #

OpenAI SDK'yi yükleyin.

python

pip install openai

Chat Completions #

Temel sohbet tamamlama isteği.

python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.parel.cloud/v1",
    api_key="pk-...",
)

response = client.chat.completions.create(
    model="nemotron-3-super-120b",
    messages=[
        {"role": "user", "content": "Merhaba!"}
    ],
)

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

javascript

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.parel.cloud/v1",
  apiKey: "pk-...",
});

const response = await client.chat.completions.create({
  model: "nemotron-3-super-120b",
  messages: [
    { role: "user", content: "Merhaba!" }
  ],
});

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

java

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.*;

OpenAIClient client = OpenAIOkHttpClient.builder()
    .baseUrl("https://api.parel.cloud/v1")
    .apiKey("pk-...")
    .build();

ChatCompletionCreateParams params = ChatCompletionCreateParams.builder()
    .model("nemotron-3-super-120b")
    .addUserMessage("Merhaba!")
    .build();

ChatCompletion completion = client.chat().completions().create(params);

System.out.println(completion.choices().get(0).message().content().get());

csharp

using OpenAI;
using OpenAI.Chat;

ChatClient client = new(
    model: "nemotron-3-super-120b",
    credential: new ApiKeyCredential("pk-..."),
    options: new OpenAIClientOptions {
        Endpoint = new Uri("https://api.parel.cloud/v1") }
);

ChatCompletion completion = client.CompleteChat(
    new UserChatMessage("Merhaba!")
);

Console.WriteLine(completion.Content[0].Text);

bash

curl -X POST https://api.parel.cloud/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer pk-..." \
  -d '{
    "model": "nemotron-3-super-120b",
    "messages": [
      {"role": "user", "content": "Merhaba!"}
    ]
  }'

Streaming #

Yanıtları token token akın halinde alın.

python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.parel.cloud/v1",
    api_key="pk-...",
)

stream = client.chat.completions.create(
    model="nemotron-3-super-120b",
    messages=[
        {"role": "user", "content": "Türkiye'nin başkenti neresidir?"}
    ],
    stream=True,
)

for chunk in stream:
    content = chunk.choices[0].delta.content
    if content:
        print(content, end="", flush=True)

javascript

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.parel.cloud/v1",
  apiKey: "pk-...",
});

const stream = await client.chat.completions.create({
  model: "nemotron-3-super-120b",
  messages: [
    { role: "user", content: "Türkiye'nin başkenti neresidir?" }
  ],
  stream: true,
});

for await (const chunk of stream) {
  const content = chunk.choices[0]?.delta?.content;
  if (content) process.stdout.write(content);
}

java

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.*;

OpenAIClient client = OpenAIOkHttpClient.builder()
    .baseUrl("https://api.parel.cloud/v1")
    .apiKey("pk-...")
    .build();

ChatCompletionCreateParams params = ChatCompletionCreateParams.builder()
    .model("nemotron-3-super-120b")
    .addUserMessage("Türkiye'nin başkenti neresidir?")
    .stream(true)
    .build();

client.chat().completions().createStreaming(params)
    .stream()
    .flatMap(completion -> completion.choices().stream())
    .forEach(choice -> {
        choice.delta().content().ifPresent(System.out::print);
    });

csharp

using OpenAI;
using OpenAI.Chat;

ChatClient client = new(
    model: "nemotron-3-super-120b",
    credential: new ApiKeyCredential("pk-..."),
    options: new OpenAIClientOptions {
        Endpoint = new Uri("https://api.parel.cloud/v1") }
);

AsyncCollectionResult<StreamingChatCompletionUpdate> updates =
    client.CompleteChatStreamingAsync(
        new UserChatMessage("Türkiye'nin başkenti neresidir?")
    );

await foreach (StreamingChatCompletionUpdate update in updates)
{
    foreach (ChatMessageContentPart part in update.ContentUpdate)
    {
        Console.Write(part.Text);
    }
}

bash

curl -X POST https://api.parel.cloud/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer pk-..." \
  -d '{
    "model": "nemotron-3-super-120b",
    "messages": [
      {"role": "user", "content": "Türkiye\'nin başkenti neresidir?"}
    ],
    "stream": true
  }'

System Prompt #

Modelin davranisini system mesajiyla yonlendirin.

python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.parel.cloud/v1",
    api_key="pk-...",
)

response = client.chat.completions.create(
    model="nemotron-3-super-120b",
    messages=[
        {
            "role": "system",
            "content": "Sen yardimci bir Turkce asistansin. Kisa ve net cevaplar ver."
        },
        {
            "role": "user",
            "content": "KVKK nedir?"
        }
    ],
)

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

javascript

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.parel.cloud/v1",
  apiKey: "pk-...",
});

const response = await client.chat.completions.create({
  model: "nemotron-3-super-120b",
  messages: [
    {
      role: "system",
      content: "Sen yardimci bir Turkce asistansin. Kisa ve net cevaplar ver."
    },
    {
      role: "user",
      content: "KVKK nedir?"
    }
  ],
});

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

java

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.*;

OpenAIClient client = OpenAIOkHttpClient.builder()
    .baseUrl("https://api.parel.cloud/v1")
    .apiKey("pk-...")
    .build();

ChatCompletionCreateParams params = ChatCompletionCreateParams.builder()
    .model("nemotron-3-super-120b")
    .addSystemMessage("Sen yardimci bir Turkce asistansin. Kisa ve net cevaplar ver.")
    .addUserMessage("KVKK nedir?")
    .build();

ChatCompletion completion = client.chat().completions().create(params);

System.out.println(completion.choices().get(0).message().content().get());

csharp

using OpenAI;
using OpenAI.Chat;

ChatClient client = new(
    model: "nemotron-3-super-120b",
    credential: new ApiKeyCredential("pk-..."),
    options: new OpenAIClientOptions {
        Endpoint = new Uri("https://api.parel.cloud/v1") }
);

ChatCompletion completion = client.CompleteChat(
    new SystemChatMessage("Sen yardimci bir Turkce asistansin. Kisa ve net cevaplar ver."),
    new UserChatMessage("KVKK nedir?")
);

Console.WriteLine(completion.Content[0].Text);

bash

curl -X POST https://api.parel.cloud/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer pk-..." \
  -d '{
    "model": "nemotron-3-super-120b",
    "messages": [
      {"role": "system", "content": "Sen yardimci bir Turkce asistansin."},
      {"role": "user", "content": "KVKK nedir?"}
    ]
  }'

Parametreler #

Yanıt kalitesini ve çeşitliliğini ayarlayın.

python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.parel.cloud/v1",
    api_key="pk-...",
)

response = client.chat.completions.create(
    model="nemotron-3-super-120b",
    messages=[
        {"role": "user", "content": "Yaratici bir hikaye yaz."}
    ],
    temperature=0.9,    # 0-2: dusuk = deterministik, yuksek = yaratici
    max_tokens=2048,    # maksimum cikti token sayisi
    top_p=0.95,         # nucleus sampling esigi
)

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

javascript

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.parel.cloud/v1",
  apiKey: "pk-...",
});

const response = await client.chat.completions.create({
  model: "nemotron-3-super-120b",
  messages: [
    { role: "user", content: "Yaratici bir hikaye yaz." }
  ],
  temperature: 0.9,    // 0-2: dusuk = deterministik, yuksek = yaratici
  max_tokens: 2048,    // maksimum cikti token sayisi
  top_p: 0.95,         // nucleus sampling esigi
});

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

java

import com.openai.client.OpenAIClient;
import com.openai.client.okhttp.OpenAIOkHttpClient;
import com.openai.models.*;

OpenAIClient client = OpenAIOkHttpClient.builder()
    .baseUrl("https://api.parel.cloud/v1")
    .apiKey("pk-...")
    .build();

ChatCompletionCreateParams params = ChatCompletionCreateParams.builder()
    .model("nemotron-3-super-120b")
    .addUserMessage("Yaratici bir hikaye yaz.")
    .temperature(0.9)    // 0-2: dusuk = deterministik, yuksek = yaratici
    .maxTokens(2048)     // maksimum cikti token sayisi
    .topP(0.95)          // nucleus sampling esigi
    .build();

ChatCompletion completion = client.chat().completions().create(params);

System.out.println(completion.choices().get(0).message().content().get());

csharp

using OpenAI;
using OpenAI.Chat;

ChatClient client = new(
    model: "nemotron-3-super-120b",
    credential: new ApiKeyCredential("pk-..."),
    options: new OpenAIClientOptions {
        Endpoint = new Uri("https://api.parel.cloud/v1") }
);

ChatCompletionOptions options = new()
{
    Temperature = 0.9f,   // 0-2: dusuk = deterministik, yuksek = yaratici
    MaxOutputTokenCount = 2048,  // maksimum cikti token sayisi
    TopP = 0.95f,         // nucleus sampling esigi
};

ChatCompletion completion = client.CompleteChat(
    new List<ChatMessage> {
        new UserChatMessage("Yaratici bir hikaye yaz.")
    },
    options
);

Console.WriteLine(completion.Content[0].Text);

bash

curl -X POST https://api.parel.cloud/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer pk-..." \
  -d '{
    "model": "nemotron-3-super-120b",
    "messages": [
      {"role": "user", "content": "Yaratici bir hikaye yaz."}
    ],
    "temperature": 0.9,
    "max_tokens": 2048,
    "top_p": 0.95
  }'

Kayıt olun, API anahtarınızı alın.

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