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@@ -22,7 +22,7 @@ auto_sample: true
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  inference_code: chat-GPTQ.py
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  library_tag: transformers
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  ---
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- # Model Card for Model ID
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  A unique, deployable and efficient 2.7 billion parameters model in the field of electrical engineering. This repo contains the adapters from the LoRa fine-tuning of the phi-2 model from Microsoft. It was trained on the STEM-AI-mtl/Electrical-engineering dataset combined with garage-bAInd/Open-Platypus.
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  inference_code: chat-GPTQ.py
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  library_tag: transformers
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  ---
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+ # For the electrical engineering community
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  A unique, deployable and efficient 2.7 billion parameters model in the field of electrical engineering. This repo contains the adapters from the LoRa fine-tuning of the phi-2 model from Microsoft. It was trained on the STEM-AI-mtl/Electrical-engineering dataset combined with garage-bAInd/Open-Platypus.
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