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  4. Yi-34B
open sourcellm

Yi-34B

Free Apache 2.0 bilingual LLM with massive 200K-token context

Developed by 01.AI

Try Model
6B / 9B / 34BParams
YesAPI
stableStability
Yi-34B-ChatVersion
Apache 2.0License
PyTorchFramework
YesRuns Local

Playground

Implementation Example

Example Prompt

user input
Read this 80-page legal contract and summarize the 5 most important obligations of Party A in plain English. [contract.pdf attached]

Model Output

model response
Party A's 5 key obligations: (1) Deliver milestone deliverables by Mar 31, 2026 with 30-day cure period for delays; (2) Maintain $5M general liability insurance throughout the term; (3) Indemnify Party B against any third-party IP claims; (4) Provide quarterly written reports including financial statements; (5) Obtain prior written consent before subcontracting any portion of the work.

Examples

Real-World Applications

  • Long-document Q&A
  • legal analysis
  • financial reports
  • bilingual customer support
  • cross-border e-commerce
  • code generation
  • academic research.

Docs

Model Intelligence & Architecture

What is Yi-34B?

Yi-34B is a bilingual (English and Chinese) large language model developed by 01.AI, a research lab founded by AI pioneer Kai-Fu Lee. Released in November 2023, Yi-34B is part of the broader Yi model family that includes 6B, 9B, and 34B sizes — with newer Yi-1.5 and Yi-Lightning variants extending the lineage.

It's released under the Apache 2.0 license, making it 100% free for commercial use, and was famously praised by Andrew Ng as a milestone for open Chinese AI.

Why Yi-34B Is Trending in 2026

Yi-34B remains popular in 2026 for its massive 200K-token context window — at launch, the largest context window of any open-source LLM. Combined with strong bilingual capability and Apache 2.0 freedom, it's a top pick for long-document analysis and bilingual production deployments.

Key Features and Capabilities

Yi-34B supports a 200K-token context window (~300 pages of text), bilingual English-Chinese reasoning, code generation, and instruction following. The chat-tuned variant (Yi-34B-Chat) handles multi-turn conversations smoothly.

It scores competitively with Llama 2-70B on MMLU, BBH, and TruthfulQA while being half the size.

Who Should Use Yi-34B?

Yi-34B is ideal for cross-border startups, APAC-focused enterprises, legal and financial document-AI teams, research institutions, and developers needing long-context bilingual reasoning.

Top Use Cases

Real-world applications include long-document Q&A (entire books, contracts), legal document analysis, financial report summarization, bilingual customer support, cross-border e-commerce assistants, code generation, and academic research.

Where Can You Run It?

Yi-34B runs on Hugging Face Transformers, Ollama (ollama pull yi:34b), vLLM, llama.cpp, and Together AI. The 34B model needs ~70 GB VRAM at BF16 (1× A100 80GB) or ~20 GB at 4-bit quantization (single RTX 4090).

How to Use Yi-34B (Quick Start)

Easiest path: ollama pull yi:34b-chat. For Hugging Face: 01-ai/Yi-34B-Chat. For maximum throughput, deploy with vLLM and the OpenAI-compatible server.

When Should You Choose Yi-34B?

Choose Yi-34B when you need long-context bilingual reasoning with Apache 2.0 freedom. For frontier raw quality in 2026, look at Yi-Lightning, Qwen 2.5-72B, or Llama 3.1-70B.

Pricing

Yi-34B is completely free under Apache 2.0. No commercial restrictions.

Pros and Cons

Pros: ✔ Apache 2.0 license ✔ 200K context window ✔ Strong bilingual EN/ZH ✔ Beats Llama 2-70B on many benchmarks ✔ Multiple sizes ✔ Active 01.AI development

Cons: ✘ Surpassed by Yi-Lightning and Qwen 2.5 ✘ Heavy GPU at 34B ✘ Smaller fine-tune ecosystem than Llama

Final Verdict

Yi-34B remains a top open-source bilingual LLM in 2026, especially for long-context tasks. Discover more multilingual AI at FreeAPIHub.com.

Evaluation

Advantages & Limitations

Advantages
  • ✓ Apache 2.0 license
  • ✓ 200K context window
  • ✓ Strong bilingual English-Chinese
  • ✓ Beats Llama 2-70B
  • ✓ Multiple sizes (6B-34B)
  • ✓ Active 01.AI development
Limitations
  • ✗ Surpassed by Yi-Lightning / Qwen 2.5
  • ✗ Heavy GPU at 34B
  • ✗ Smaller fine-tune ecosystem than Llama

Important Notice

Verify Before You Decide

Last verified · Apr 29, 2026

The details on this page — including pricing, features, and availability — are based on our last review and may not reflect the provider's current offering. Providers update their products frequently, sometimes without prior notice.

What may have changed

Pricing Plans
Features & Limits
Availability
Terms & Policies

Always visit the official provider website to confirm the latest pricing, terms, and feature availability before subscribing or integrating.

Check official site

External Resources

Try the Model Official Website Source Code Pricing Details

Technical Details

Architecture
Decoder Transformer with Grouped-Query Attention
Stability
stable
Framework
PyTorch
License
Apache 2.0
Release Date
2023-11-02
Signup Required
No
API Available
Yes
Runs Locally
Yes

Rate Limits

No limits self-hosted

Pricing

Completely free under Apache 2.0

Best For

Cross-border teams needing long-context bilingual English-Chinese LLM

Alternative To

Llama 2-70B, GPT-3.5, Claude (long context)

Compare With

yi-34b vs llama 2yi-34b vs qwenyi-34b vs mixtralbest long context llmfree bilingual llm

Tags

#Yi#01.ai#Long Context#Bilingual AI#Open Source AI#llm

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