Yi

01-ai/Yi

A series of large language models trained from scratch

GitHub Website

GraphCanon updated Sep 30, 2026 · GitHub synced Sep 20, 2026

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7.8k stars499 forksLast push Nov 27, 2024 Jupyter Notebook Apache-2.0

Decision brief

Yi is a series of large language models trained from scratch, offering local deployment and inference capabilities. It is suitable for users who need to run large language models locally and have the necessary hardware,如

Good fit when

Use Yi if you require a large language model that can be deployed and run locally, especially on hardware like the A800 (80G).
Choose Yi if you are working with Python 3.10 or later and have the specific software and hardware requirements met for running Yi models.

Avoid when

Avoid Yi if your hardware does not meet the minimum requirements for running the models, such as the A800 (80G) for Yi-34B-Chat.
Do not use Yi if you prefer cloud-based solutions or do not have the capability to install and manage the local environment required for Yi.

Requirements:: Min 80 GB RAM; Ensure Python 3.10 or later is installed.; Hardware requirements vary depending on the specific Yi model being used.

Observed Sep 18, 2026 · Source: enrich:decision_facts

Yi alternatives Trust report

Yi vs Qwen Yi vs LLMs-from-scratch

Verify the decision

Maintenance and security

Full trust report

Maintenance: Dormant (659d since push); As of Sep 18, 2026
Provenance: Not a fork · Organization account; As of Sep 18, 2026
Security (OSV): 149 low (149 low); As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

git clone https://github.com/01-ai/Yi

How it fits your stack(8)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

LLMs-from-scratch

Yi focuses on developing large language models from scratch, similar to the approach taken by LLMs-from-scratch. Both repositories aim at building these models rather than using pre-trained ones.

alternative

Qwen

Qwen is another Chinese LLM developed by Alibaba Cloud. Both repositories aim to provide open-source large language models, making them alternatives in the market.

alternative

Integrates

TradingAgents

Yi's focus on developing LLMs could integrate with TradingAgents for financial trading applications, as large language models can be crucial in processing and understanding complex market data.

integrates

self-llm

Self-LLM provides a guide for Chinese users to develop LLMs, and Yi's development of large language models can serve as the core model in such educational efforts.

integrates

transformers

🤗 Transformers: state-of-the-art machine learning models for text, vision, audio, and multimodal models

autogen

A programming framework for agentic AI

Mr.-Ranedeer-AI-Tutor

While Yi builds large language models that could potentially be used for educational purposes, Mr.-Ranedeer-AI-Tutor is an AI Tutor Prompt customized for learning experiences which might utilize such developed LLMs.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

ollama

Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

181k★

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

83k★

llm

Access large language models from the command-line

12k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Provides large language models and instructions for local deployment and inference.

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Sep 18, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Sep 18, 2026
Languages: jupyter notebook, python
Source: github.language+pyproject.toml · Sep 18, 2026

Graph entities

Smolagentsframework

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 18, 2026)

- Make sure Python 3.10 or a later version is installed.

Source link

README

Quick start 💡 Tip : If you want to get started with the Yi model and explore different methods for inference, check out the Yi Cookbook. Quick start pip This tutorial guides you through every step of running Yi 34B Chat locally on an A800 (80G) and then performing inference. Ste...

For agents

This page has a .md twin and JSON over the API.

/tools/01-ai-yi.md GET /api/graphcanon/tools/01-ai-yi GET /api/graphcanon/graph?tool=01-ai-yi

Yi