Yi

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Yi is an open-source large language model series that provides powerful bilingual LLMs. It offers various models for chat and base applications, trained from scratch by 01.AI.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Yi?

The Yi series models are a collection of open-source large language models developed from scratch by 01.AI. These models are designed to be bilingual, trained on a 3T multilingual corpus, and excel in language understanding, commonsense reasoning, and reading comprehension. The Yi-34B-Chat model has demonstrated strong performance, ranking highly on leaderboards like AlpacaEval. The series includes both chat-optimized and base models, with options for different parameter sizes (6B, 9B, 34B) and context window lengths (up to 200K). Yi models are built on the Transformer architecture, similar to Llama, but are not derivatives, utilizing independently created training datasets and infrastructure. They are available for deployment via pip, Docker, conda-lock, and llama.cpp, and can be fine-tuned or quantized for specific needs.

Best used for

Ideal for AI researchers and developers who need to experiment with state-of-the-art open-source LLMs, deploy custom language models, and develop bilingual AI applications. Especially valuable for those seeking high-performing models with extensive context windows and options for quantization and fine-tuning.

Common actions

develop AI models

deploy LLMs

fine-tune language models

benchmark LLMs

create bilingual applications

collaborationdeepfakeopen-sourceautomated workflowlow-code/no-codeface swappinggithub copilotworkflows"AI Agents"

Capabilities

Key features

Bilingual large language models
Chat and base models
Up to 200K context window
Quantized model versions
Llama-like architecture
Fine-tuning capabilities
Multiple deployment options

Target Audience

AI researcherdeveloperprofessor

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the relationship between Yi models and Llama?

The Yi series models adopt the same Transformer architecture as Llama, which is a standard for large language models. However, Yi models are not derivatives of Llama, as they do not use Llama's weights. They are trained from scratch using independently created datasets and infrastructure by 01.AI.

What are the different types of Yi models available?

Yi offers both chat-optimized models and base models, with various parameter sizes including 6B, 9B, and 34B. Some models also feature extended context windows up to 200K tokens, and quantized versions (4-bit and 8-bit) are available for easier deployment on consumer-grade GPUs.

How can I deploy Yi models locally?

You can deploy Yi models locally using several methods, including pip, Docker, conda-lock, or llama.cpp. The choice depends on your available resources; for instance, llama.cpp is recommended for systems with limited resources like a MacBook Pro.

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Research & Education › Academic Research AI Agents & Automation › AI Frameworks & Infra

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