AquilaChat2 7B

Name: AquilaChat2 7B
Author: BAAI

by BAAI

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

Released August 20242K context≈ 1,536 words7B params

A compact Chinese-English bilingual chat model from BAAI, AquilaChat2 7B handles conversational tasks in both languages within a modest 2048-token context window. Its relatively small size means it fits on consumer hardware, though the tight context limit constrains longer exchanges. It reflects BAAI's focus on open, accessible bilingual language research.

Capabilities

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

Creative Writing

Moderate

Factual Knowledge

AquilaChat2 7B

by BAAI

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

Released August 20242K context≈ 1,536 words7B params

A compact Chinese-English bilingual chat model from BAAI, AquilaChat2 7B handles conversational tasks in both languages within a modest 2048-token context window. Its relatively small size means it fits on consumer hardware, though the tight context limit constrains longer exchanges. It reflects BAAI's focus on open, accessible bilingual language research.

Capabilities

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

Creative Writing

Moderate

Factual Knowledge

Glossary

BilingualA model trained to understand and generate text in two languages, in this case Japanese and English.Chat ModelA language model specifically trained to have natural back-and-forth conversations with users rather than just completing text.Context WindowThe maximum number of tokens a model can process in a single conversation or prompt.TokenA small unit of text (a word, subword, or punctuation mark) that a language model breaks input into for processing.

Capabilities

Capabilities

Use Case Fit

Glossary