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About Falcon 2 11B VLM
Falcon2-11B-VLM is an 11B parameters causal decoder-only model built by TII and trained on over 5,000B tokens of RefinedWeb enhanced with curated corpora. To bring vision capabilities, we integrate the pretrained CLIP ViT-L/14 vision encoder with our Falcon2-11B chat-finetuned model and train with image-text data. For enhancing the VLM's perception of fine-grained details w.r.t small objects in images, we employ a dynamic encoding mechanism at high-resolution for image inputs. The model is built on the same robust foundation as Falcon 2 11B, featuring 11 billion parameters. It matches or exceeds the performance of other leading models, such as Meta’s Llama 3 8B and Google’s Gemma 7B, particularly in tasks that require vision-language integration.
| General | |
|---|---|
| Relese date | May 13, 2024 |
| Author | AI71 |
| Dataset | https://huggingface.co/tiiuae/falcon-11B |
| Type | Vision Language Model |
Falcon 2 Tutorials
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