qualcomm
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JAIS-6p7b-Chat

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 JAIS 6.7B is a bilingual large language model (LLM) for both Arabic and English developed by Inception, a G42 company in partnership with MBZUAI and Cerebras. This is a 6.7 billion parameter LLM, trained on a dataset containing 141 billion Arabic tokens and 339 billion English/code tokens. The model is based on transformer-based decoder-only (GPT-3) architecture and uses SwiGLU non-linearity. It implements ALiBi position embeddings, enabling the model to extrapolate to long sequence lengths, providing improved context handling and model precision. The JAIS family of models is a comprehensive series of bilingual English-Arabic LLMs. These models are optimized to excel in Arabic while having strong English capabilities.
-This model is an implementation of Posenet-Mobilenet found [here](https://huggingface.co/inceptionai/jais-family-6p7b).
 More details on model performance accross various devices, can be found [here](https://aihub.qualcomm.com/models/jais_6p7b_chat_quantized).

 JAIS 6.7B is a bilingual large language model (LLM) for both Arabic and English developed by Inception, a G42 company in partnership with MBZUAI and Cerebras. This is a 6.7 billion parameter LLM, trained on a dataset containing 141 billion Arabic tokens and 339 billion English/code tokens. The model is based on transformer-based decoder-only (GPT-3) architecture and uses SwiGLU non-linearity. It implements ALiBi position embeddings, enabling the model to extrapolate to long sequence lengths, providing improved context handling and model precision. The JAIS family of models is a comprehensive series of bilingual English-Arabic LLMs. These models are optimized to excel in Arabic while having strong English capabilities.
+This model is an implementation of JAIS-6p7b-Chat found [here](https://huggingface.co/inceptionai/jais-family-6p7b).
 More details on model performance accross various devices, can be found [here](https://aihub.qualcomm.com/models/jais_6p7b_chat_quantized).