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README.md

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 PLaMo-1B is the first small language model (SLM) in the PLaMo™ Lite series from Preferred Networks (PFN), designed to power AI applications for edge devices including mobile, automotive, and robots across various industrial sectors. This model builds on the advancements of PLaMo-100B, a 100-billion parameter large language model (LLM) developed from the ground up by PFN’s subsidiary Preferred Elements (PFE). Leveraging high-quality Japanese and English text data generated by PLaMo-100B, PLaMo-1B has been pre-trained on a total of 4 trillion tokens. As a result, it delivers exceptional performance in Japanese benchmarks, outperforming other SLMs with similar parameter sizes. In evaluations such as Jaster 0-shot and 4-shot, PLaMo-1B has demonstrated performance on par with larger LLMs, making it a highly efficient solution for edge-based AI tasks.
 
-More details on model performance accross various devices, can be found [here](https://aihub.qualcomm.com/models/plamo_1b_quantized).
+Please contact us to purchase this model. More details on model performance across various devices, can be found [here](https://aihub.qualcomm.com/models/plamo_1b_quantized).
 
 ### Model Details
 
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 ## Deploying PLaMo-1B on-device
 
-Please follow the [LLM on-device deployment]({genie_url}) tutorial.
+Please follow the [LLM on-device deployment](https://github.com/quic/ai-hub-apps/tree/main/tutorials/llm_on_genie) tutorial.