BlueLM Models by Vivo AI Lab
Last refreshed 2026-05-19. Next refresh: weekly.
Details
About
BlueLM is a diverse family of large language models developed by vivo AI Lab, designed to be open-source and versatile. The models come in different sizes, including 7B parameter base and chat models, and are available with context lengths of both 2K and 32K. They were rigorously trained on a dataset comprising 2.6 trillion tokens, featuring a primary focus on Chinese and English languages, with additional data in Japanese and Korean. Notably, the BlueLM-7B-Chat model has demonstrated strong performance on benchmarks such as C-Eval and CMMLU. These models are licensed for use in both academic research and commercial sectors, making them highly flexible for a range of applications. Additionally, a 4-bit quantized version of the chat model is offered, which is optimized for reduced GPU memory usage 26.
Decision facts
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 4k context and 7B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| BlueLM 7B | Use when the workload needs 4k context and 7B parameters. | 2023-11 | 4k context7B parameters | Current |
Release Timeline
1 release groupSpecifications(1 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| BlueLM 7B | 2023-11 | 4k | 7B |