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Code Llama is a collection of pretrained and fine-tuned Large Language Models ranging in scale from 7 billion to 70 billion parameters, specializing in using both code and natural language prompts to generate code and natural language about code. This is the 70B Python specialist version.

Python
import requests
  import json
  
  url = "https://api.cyfuture.ai/aiapi/inferencing/response"
  payload = {
      "model": "Model Name",
      "max_tokens": 16384,
      "top_p": 1,
      "top_k": 40,
      "presence_penalty": 0,
      "frequency_penalty": 0,
      "temperature": 0.6,
      "messages": [
          {
              "role": "user",
              "content": "Hello, how are you?"
          }
      ]
  }
  headers = {
      "Accept": "application/json",
      "Content-Type": "application/json",
      "Authorization": "Bearer <API_KEY>"
  }
  response = requests.request("POST", url, headers=headers, data=json.dumps(payload))
await fetch("https://api.cyfuture.ai/aiapi/inferencing/response", {
      method: "POST",
      headers: {
          "Accept": "application/json",
          "Content-Type": "application/json",
          "Authorization": "Bearer <API_KEY>"
      },
      body: JSON.stringify({
          model: "Model Name",
          max_tokens: 16384,
          top_p: 1,
          top_k: 40,
          presence_penalty: 0,
          frequency_penalty: 0,
          temperature: 0.6,
          messages: [
              {
                  role: "user",
                  content: "Hello, how are you?"
              }
          ]
      })
  });
URI uri = URI.create("https://api.cyfuture.ai/aiapi/inferencing/response");
  HttpClient client = HttpClient.newHttpClient();
  
  HttpRequest request = HttpRequest.newBuilder()
      .uri(uri)
      .header("Accept", "application/json")
      .header("Content-Type", "application/json")
      .header("Authorization", "Bearer <API_KEY>")
      .POST(HttpRequest.BodyPublishers.ofString("{...}"))
      .build();
  
  HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
package main
  
  import (
      "bytes"
      "net/http"
      "fmt"
  )
  
  apiUrl := "https://api.cyfuture.ai/aiapi/inferencing/response"
  
  req, err := http.NewRequest("POST", apiUrl, bytes.NewBuffer(jsonData))
  req.Header.Set("Accept", "application/json")
  req.Header.Set("Content-Type", "application/json")
  req.Header.Set("Authorization", "Bearer <API_KEY>")
  
  client := &http.Client{}
  resp, err := client.Do(req)
  fmt.Println("response Status:", resp.Status)
curl --request POST \
      --url https://api.cyfuture.ai/aiapi/inferencing/response \
      -H 'Accept: application/json' \
      -H 'Content-Type: application/json' \
      -H 'Authorization: Bearer <API_KEY>' \
      --data '{
          "model": "Model Name",
          "max_tokens": 16384,
          "top_p": 1,
          "top_k": 40,
          "temperature": 0.6
      }'
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On-demand deployments

On-demand deployments allow you to use Code Llama 70B Python on dedicated GPUs with Cyfuture AI' high-performance serving stack with high reliability and no rate limits.

See the On-demand deployments guide for details.

Model Details

Created by
[email protected]
Created
12/30/2024
Visibility
Public
Kind
Base model
Model size
14B parameters