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Thursday · June 4, 2026 · Issue No. 886

What does it do?

  • Language Translation
  • Commonsense Reasoning
  • Reading Comprehension
  • Coding
  • Math

How is it used?

  • API
  • Access via web app
  • or SDK for bilingual text tasks.
  • 1. Access web app
  • 2. Fine-tune model
See more

Who is it good for?

  • AI Researchers
  • Software Developers
  • Natural Language Processing Experts
  • Machine Learning Enthusiasts
  • Bilingual Professionals

What does it cost?

  • Pricing model : Subscription
  • Free version : Yes
  • Starting monthly price : If billed monthly $9.00
  • Starting annual price : If billed yearly $9.00

Details & Features

  • Made By

    01 AI
  • Released On

    2018-10-24

The Yi-34B-Chat model is an advanced open-source large language model (LLM) developed by 01.AI. It is designed to provide high-performance natural language processing capabilities in both English and Chinese, making it suitable for a wide range of applications including language understanding, commonsense reasoning, reading comprehension, coding, and mathematical problem-solving.

Key features:
- Bilingual Proficiency: Trained on a 3 trillion token multilingual corpus, excelling in both English and Chinese.
- High Performance: Ranks second on the AlpacaEval Leaderboard, surpassing models like GPT-4, Mixtral, and Claude.
- Versatile Applications: Suitable for language understanding, commonsense reasoning, reading comprehension, coding, and math tasks.
- Quantized Models: Available in 4-bit and 8-bit versions for deployment on consumer-grade GPUs like the 3090 and 4090.

Model Variants:
- Yi-34B-Chat: Standard model
- Yi-34B-Chat-4bits: 4-bit quantized version
- Yi-34B-Chat-8bits: 8-bit quantized version
- Yi-6B-Chat: Smaller variant for less resource-intensive applications
- Yi-6B-Chat-4bits and 8bits: Quantized versions of the Yi-6B-Chat model

How it works:
1. Users interact with the Yi-34B-Chat model through platforms like Hugging Face, ModelScope, or WiseModel.
2. The model can be fine-tuned to meet specific requirements.
3. Users can deploy the model on compatible hardware for various tasks such as customer support chatbots or content generation.

Integrations:
Hugging Face, ModelScope, WiseModel

Use of AI:
The Yi-34B-Chat model utilizes generative AI capabilities to perform a wide range of language-related tasks. It can generate human-like text, translate between languages, and solve complex problems based on its training data and user inputs.

AI foundation model:
The Yi-34B-Chat model is built on the Llama architecture. Its training on a large multilingual corpus enables robust performance across different languages and contexts.

Target users:
- Researchers conducting academic studies and experiments
- Developers building AI-powered applications
- Businesses, particularly small and medium-sized enterprises seeking cost-effective AI solutions
- Educators creating educational tools and resources

How to access:
The Yi-34B-Chat model is available as a web app, API, and SDK. It is open-sourced, allowing for community contributions and enhancements. Users can access the model through platforms like Hugging Face, ModelScope, and WiseModel for various deployment options.

  • Supported ecosystems
    Hugging Face, Hugging Face, 01 AI
  • What does it do?
    Language Translation, Commonsense Reasoning, Reading Comprehension, Coding, Math
  • Who is it good for?
    AI Researchers, Software Developers, Natural Language Processing Experts, Machine Learning Enthusiasts, Bilingual Professionals

PRICING

Visit site
Pricing model: Subscription
Free version: Yes
Starting monthly price: If billed monthly $9.00
Starting annual price: If billed yearly $9.00

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