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Welcome to LLMTune

LLMTune is the first comprehensive platform for fine-tuning and inference offering both confidential and traditional compute options. With extensive support for training methods across all modalities text, image, audio, video, code, and more.
LLMTune provides everything you need to fine-tune, deploy, and operate AI assistants at scale. Whether you’re training custom models with advanced techniques, comparing production-ready checkpoints, or serving inference endpoints, LLMTune brings it all together in one unified platform.

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Platform Overview

LLMTune consists of integrated products that work together seamlessly:

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🎯 FineTune Studio

No-code fine-tuning for any model. Guided workflows, real-time monitoring, and support for all training methods (SFT, DPO, PPO, RLAIF, CTO, etc…) Fine-Tuning optimizations and modalities (text, image, audio, video, code, multimodal). Key Features:
  • All training methods (SFT, DPO, PPO, RLAIF, CTO etc..)
  • Fine-tuning optimizations (LoRA, QLoRA, D-LoRA etc..)
  • All modalities such as (text, image, audio, video, code, multimodal, embeddings, TTS)
  • Traditional or confidential compute options
  • Real-time monitoring and telemetry
  • Automatic checkpoints

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🧪 Inference Studio

Comprehensive inference platform offering LLMs with confidential or traditional compute options, agent capabilities for IDE integrations (Cursor, Continue, and more), chat completion APIs, MCP (Model Context Protocol) support, and expanded infrastructure for scalable AI deployments. Test, iterate, and validate your models before production deployment. Key Features:
  • LLMs for inference with confidential or traditional compute options
  • Agent capabilities for IDE integrations (Cursor, Continue, and more)
  • Chat completion APIs
  • MCP (Model Context Protocol) support
  • Expanded infrastructure for scalable deployments
  • Real-time inference testing
  • Prompt templates and management
  • Response comparison across models
  • Performance metrics and latency tracking
  • Batch inference for evaluation

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📦 LLMTune Models

A production‑grade AI models, combining ready‑to‑use inference‑optimized models, custom fine‑tuned variants, and exclusive confidential models from multiple providers. Side‑by‑side comparison, transparent evaluation metrics, deployment notes, and clear usage guidance help you rapidly select and use the perfect model for your exact use case, no guesswork, no vendor lock‑in.

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How to Use This Documentation

  1. Start with the essentials – Follow the Quickstart to create an account, prepare training data, launch a fine-tune, evaluate your model, and call the inference API.
  2. Understand the products – Read about each product to understand their capabilities and use cases.
  3. Follow guided workflows – Use the How-to guides for detailed walkthroughs on tuning, evaluation, deployment, observability, and automation.
  4. Integrate programmatically – Reference the API documentation for REST endpoints, authentication scopes, and request examples across languages.
  5. Plan ahead – Check the Roadmap and FAQ to align stakeholders on what’s shipping next and how LLMTune operates.

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