OpenLedger’s ModelFactory makes AI model fine-tuning accessible and secure for developers, researchers, and crypto projects. At its core, ModelFactory supports a wide array of cutting-edge Large Language Models (LLMs), enabling users to build, train, and deploy AI tools that integrate seamlessly with Web3 and blockchain applications.

Supported Models in ModelFactory

ModelFactory provides flexibility by supporting both commonly used and advanced LLMs:

DeepSeek – Optimized for search and retrieval tasks.

BLOOM – Large-scale multilingual models for global applications.

ChatGLM – Conversational AI capable of nuanced interactions.

Falcon – High-performance LLMs for efficient fine-tuning.

Gemma – Customizable models for domain-specific datasets.

GPT-2 – Classic transformer model for text generation tasks.

LLaMA (1, 2, 3 Series) – Lightweight, versatile models for diverse AI workflows.

Mistral – Cutting-edge models optimized for speed and accuracy.

Qwen – Next-gen LLMs supporting specialized AI applications.

This variety ensures developers can choose the right model for their project, whether they are building DeFi analytics, automated trading tools, RWA data processors, or Web3-powered chatbots.

Why Variety Matters

Customization: Each model can be fine-tuned to specific datasets using methods like LoRA and QLoRA.

Efficiency: Users can optimize models for performance, accuracy, or computational efficiency depending on their goals.

Integration: Fine-tuned models can be accessed directly via GUI or API, enabling seamless interaction within applications.

Benefits for Crypto Projects

By leveraging ModelFactory’s supported models, crypto projects can:

Automate market analysis and sentiment tracking

Generate intelligent responses for user-facing chatbots

Process complex blockchain and DeFi data

Maintain data ownership and security throughout the fine-tuning process

FAQs

Q1: Can I switch between models mid-project?

Yes. ModelFactory allows users to select and fine-tune multiple LLMs depending on project needs.

Q2: Do I need coding experience to use these models?

No. ModelFactory’s GUI supports all major configuration tasks, though API access is available for advanced users.

Q3: Are these models ready for real-time applications?

Absolutely. Fine-tuned models can interact via GUI or API in real time for tasks like analytics, DeFi workflows, or user chatbots.

Action Tip: Start with a small, specialized dataset on one model to test your use case. Then gradually scale and experiment with other LLMs to maximize insights and efficiency.

Discover the powerful LLMs supported by OpenLedger’s ModelFactory, enabling fine-tuned AI solutions for crypto and Web3 projects.

Disclaimer: Not financial advice.

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