LogoLogo
Tabnine websiteContact Sales
  • 👋Welcome
    • Overview
      • Architecture
        • Deployment options
      • Security
      • Privacy
      • Protection
        • Provenance and Attribution
      • Personalization
        • Tabnine’s Personalization in Depth
        • Connection: Global Codebase Awareness
      • AI Models
        • Tabnine's private and protected Universal models
        • Tabnine's fine-tuned AI models
      • Integrations
        • Atlassian Jira
      • System Requirements
      • Supported Languages
      • Supported IDEs
      • Tabnine Subscription Plans
        • Dev Preview
        • Dev
        • Enterprise (SaaS)
        • Enterprise (private installation)
    • Support & Feedback
  • 🚀Getting started
    • Install
      • Client setup (SaaS)
        • VS Code
          • Install Tabnine in VS Code
          • Activate Tabnine in VS Code
        • JetBrains IDEs
          • Install Tabnine in a JetBrains IDE
          • Activate Tabnine in a JetBrains IDE
        • Visual Studio
          • Install Tabnine in Visual Studio 2022
          • Activate Tabnine in Visual Studio 2022
        • Eclipse
          • Install Tabnine in Eclipse
          • Activate Tabnine in Eclipse
        • Sign in
          • Using an email
          • Using an authentication token
      • Client setup (private installation)
        • Join your team (private installation)
        • VS Code (private installation)
        • JetBrains IDEs (private installation)
        • Visual Studio (private installation)
        • Eclipse (private installation)
    • Quickstart Guide
      • Menus and Icons
    • Getting the Most from Tabnine Code Completions
      • Pause (snooze)
    • Getting the Most from Inline Actions
    • Getting the Most from Tabnine Chat
      • Launching Tabnine Chat
      • Interacting with Tabnine Chat
      • Reviewing suggestions
      • Writing prompts
      • Chat Context
        • Understanding Context
        • Jira Connection
        • Context Scoping
      • Conversing with Tabnine Chat
      • Switching between chat AI models
      • Image Prompts
      • Tabnine's Prompting Guide
        • Getting Started
        • Basic Prompting
          • Be specific and clear
          • Define the context
          • Start a fresh conversation as appropriate
          • Include necessary details
          • Ask for examples
          • Be concise but complete
  • 💪Software Development with Tabnine
    • Overview
    • Plan
    • Create
    • Test
      • Intro to the Test Agent
      • Test Agent Workflow
      • Custom Commands
      • Generate Test Files with @Mentions
    • Review
    • Fix
    • Document
    • Explain
    • Maintain
  • 🏭Administering Tabnine
    • Start a team
    • Manage a team
    • SaaS
      • Enterprise (SaaS) team admin
        • Set up a Tabnine Enterprise (SaaS) account
        • Invite team members
        • Manage your team
        • AI models for Chat (Enterprise SaaS)
      • Enterprise (SaaS) team member
        • Join your Tabnine team by invitation email (team member)
        • Join Tabnine team by link (member)
    • Private installation
      • Server setup guide
        • Kubernetes (MicroK8s) Installation guide
        • Deployment guide
          • Tabnine update guide
        • Air-gapped deployment guide
      • Admin guide
        • Monitoring Tabnine
        • Prometheus Operator install
        • Audit logs
      • Managing your team
        • Tabnine teams
        • Roles in an enterprise
        • Inviting users to your team
        • Deactivating and reactivating users
        • Deleting PII data of a deactivated user
        • Reset user's password
        • Usage reports
          • Reports Glossary
          • CSV-based reports (V2)
            • Configuring scheduled CSV reports
            • CSV-based reports V1 (Depracted since version 5.7.0
          • Usage API
        • Settings
          • General
          • Single Sign-On (SSO)
          • Personalization (f.k.a. Workspace)
            • Connecting to External Code Repositories
          • Email
          • License
          • Models
          • Access Tokens
        • IdP Sync
      • Release Notes
  • 📣Product Updates
    • What's new?
      • What's new? (August 2024)
      • What's new? (July 2024)
      • What's new? (June 2024)
      • What's new? (May 2024)
      • What's new? (April 2024)
      • What's new? (March 2024)
      • What's new? (February 2024)
      • What's new? (January 2024)
Powered by GitBook
On this page
  • Private Model endpoints supported by Tabnine
  • Viewing and setting up the available chat models
  • Setting the default chat model

Was this helpful?

  1. Administering Tabnine
  2. Private installation
  3. Managing your team
  4. Settings

Models

Last updated 20 days ago

Was this helpful?

Tabnine provides various for Tabnine Chat. Tabnine Enterprise admins, in private installations, can connect Tabnine to their internal endpoints to enrich the Tabnine Chat experience for users. This allows administrators to integrate their company's private LLM instances, making them accessible to the engineering team directly within Tabnine.

Note

Tabnine's code completions only use the Tabnine Universal code completions model, which is both private and protected.

Private Model endpoints supported by Tabnine

Note

The list of supported models is updated frequently as new models become available.

Currently, Tabnine supports the following model providers for private endpoint connections:

Amazon Bedrock

Models: Claude 3.7 Sonnet, Claude 3.5 Sonnet

Integration requirements: Region, Access Key ID, Secret Access Key

Azure

Models: GPT Series

Integration requirements: Azure endpoint, Key, Deployment ID

OpenAI

Integration requirements: Key, OpenAI endpoint

Integration requirements: Llama endpoint, OpenAICompatible Model name

Integration requirements: Region, Project ID, Service Account

Viewing and setting up the available chat models

Note

If this functionality isn't visible, we recommend contacting your dedicated account manager at Tabnine. They'll assist you in setting the available chat AI models for your team.

Admins manage the available chat models for their accounts and set up private endpoints for chat models:

  1. Sign in to the Tabnine console as an admin.

  2. Go to the Models page under Settings:

  1. Toggle a model on and enter the relevant provider settings for your private endpoint.

Setting the default chat model

Admins can set a model as the account's default chat model. The account default model is the default chat model for the account users. However, users can still switch to any other available model.

Change the account default model by expanding a specific model and toggling Set as default.

Models: GPT Series

OpenAI-Compatible

Models: Gemma-3-27b-it, Qwen2.5-32B-Instruct, Llama 3.3 70B

Google Vertex AI

Models: Claude 3.7 Sonnet, Claude 3.5 Sonnet, Gemini 2.0 Flash

🏭
Learn more
Learn more
AI models
Learn more
Learn more