Sam Heutmaker
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update readme
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README.md
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## Model Description
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**ClipTagger-12b** is a 12-billion parameter vision-language model (VLM) designed for video understanding at massive scale. Developed by [Inference.net](https://inference.net) in collaboration with [Grass](https://grass.io), this model was created to meet the demanding requirements of trillion-scale video frame captioning workloads
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**ClipTagger-12b exceeds or matches the performance of GPT-4.1 and Claude 4 Sonnet, while costing 15x less per generation.**
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## License
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This model is released under the Apache-2.0 license, allowing for commercial use and modification with proper attribution.
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## Model Description
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**ClipTagger-12b** is a 12-billion parameter vision-language model (VLM) designed for video understanding at massive scale. Developed by [Inference.net](https://inference.net) in collaboration with [Grass](https://grass.io), this model was created to meet the demanding requirements of trillion-scale video frame captioning workloads.
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**ClipTagger-12b exceeds or matches the performance of GPT-4.1 and Claude 4 Sonnet, while costing 15x less per generation.**
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## License
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This model is released under the Apache-2.0 license, allowing for commercial use and modification with proper attribution.
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