Yi 34B Chat

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released March 20244K context≈ 3,072 words34.4B params

Yi 34B Chat is a dense, open-weight model from 01-ai that punches notably hard for its parameter count, particularly in multilingual tasks including strong Chinese-English capability. It tends to be direct and thorough in responses, though its relatively small 4096-token context window can feel constraining when handling longer documents or multi-turn conversations. Released under Apache 2.0, it's a practical choice for teams wanting a capable self-hosted model without licensing friction.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Factual Knowledge

Moderate

Creative Writing

Yi 34B Chat

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released March 20244K context≈ 3,072 words34.4B params

Yi 34B Chat is a dense, open-weight model from 01-ai that punches notably hard for its parameter count, particularly in multilingual tasks including strong Chinese-English capability. It tends to be direct and thorough in responses, though its relatively small 4096-token context window can feel constraining when handling longer documents or multi-turn conversations. Released under Apache 2.0, it's a practical choice for teams wanting a capable self-hosted model without licensing friction.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Factual Knowledge

Moderate

Creative Writing

Glossary

Context WindowThe maximum number of tokens a model can process in a single conversation or prompt.Multi-Turn ConversationsThe ability to maintain context and coherence across multiple back-and-forth exchanges with a user in a single conversation.MultilingualA model trained to understand and generate text in multiple languages, not just English.Open-Weight ModelA model whose trained weights are publicly released, allowing anyone to download and run it locally.Parameter CountThe total number of adjustable weights in a model; more parameters generally mean more capacity to learn, but also require more computing power.Self-HostedRunning a model on your own hardware and infrastructure instead of relying on a company's servers or API.TokenA small unit of text (a word, subword, or punctuation mark) that a language model breaks input into for processing.

Yi 34B Chat

Capabilities

Yi 34B Chat

Capabilities

Benchmark Scores

Use Case Fit

Glossary