LLM Reference

BlueLM Models by Vivo AI Lab

1 model2023Up to 4k ctx

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.

Current Variants

Use-when guidance is derived from seed capabilities, context, release, and replacement fields.

1 in view
BlueLM 7BCurrent

Use when the workload needs 4k context and 7B parameters.

2023-114k context7B parameters

Release Timeline

1 release group
2023-11
1 current
BlueLM 7B
4k context7B parameters
Current

Specifications(1 models)

BlueLM model specifications comparison
ModelReleasedContextParameters
BlueLM 7B2023-114k7B

Frequently Asked Questions

What is BlueLM used for?
BlueLM is a diverse family of large language models developed by vivo AI Lab, designed to be open-source and versatile.
How does BlueLM compare to Claude 3?
BlueLM by Vivo AI Lab is strongest where you need its listed use cases, while Claude 3 by Anthropic is the closest related family to check for vision and multimodal work. BlueLM has 1 listed variant and reaches up to 4k context, while Claude 3 reaches up to 200k context, so compare the specs and pricing tables before choosing a production model.
Which BlueLM model should I use?
If price is the main constraint, use the pricing table first because BlueLM does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate BlueLM 7B with 4k context.

Models(1)