View a PDF of the paper titled xGen-MM (BLIP-3): A Family of Open Large Multimodal Models, by Le Xue and 26 other authors
Abstract:This report introduces xGen-MM (also known as BLIP-3), a framework for developing Large Multimodal Models (LMMs). The framework comprises meticulously curated datasets, a training recipe, model architectures, and a resulting suite of LMMs. xGen-MM, short for xGen-MultiModal, expands the Salesforce xGen initiative on foundation AI models. Our models undergo rigorous evaluation across a range of tasks, including both single and multi-image benchmarks. Our pre-trained base model exhibits strong in-context learning capabilities and the instruction-tuned model demonstrates competitive performance among open-source LMMs with similar model sizes. In addition, we introduce a safety-tuned model with DPO, aiming to mitigate harmful behaviors such as hallucinations and improve safety. We open-source our models, curated large-scale datasets, and our fine-tuning codebase to facilitate further advancements in LMM research. Associated resources will be available on our project page above.
Submission history
From: Le Xue [view email]
[v1]
Fri, 16 Aug 2024 17:57:01 UTC (12,671 KB)
[v2]
Wed, 28 Aug 2024 05:03:34 UTC (12,671 KB)
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