AIが動く。未来が更新される。plamo-2.1-2b-vl
PLaMo 2.1-2B-VL is a vision-language model developed by Preferred Networks, Inc., based on the instruction-tuned PLaMo 2.1-2B and trained on English and Japanese datasets. While the 8B model (pfnet/plamo-2.1-8b-vl) will serve as the main offering, supported by performance comparisons, this smaller and lighter 2B model is made available as an easy option to try, although its use cases are more limited. The development of PLaMo 2.1-2B-VL was focused on creating a model for usage on autonomous devices such as drones, robots, vehicles, and surveillance cameras, aiming to create a high-accuracy, lightweight VLM that runs efficiently on edge devices.
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PLaMo 2.1-2B-VL is a vision-language model developed by Preferred Networks, Inc., based on the instruction-tuned PLaMo 2.1-2B and trained on English and Japanese datasets. While the 8B model (pfnet/plamo-2.1-8b-vl) will serve as the main offering, supported by performance comparisons, this smaller and lighter 2B model is made available as an easy option to try, although its use cases are more limited. The development of PLaMo 2.1-2B-VL was focused on creating a model for usage on autonomous devices such as drones, robots, vehicles, and surveillance cameras, aiming to create a high-accuracy, lightweight VLM that runs efficiently on edge devices.