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README.md

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-license: mit
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+#gtp4all-lora
+Model Description
+The gtp4all-lora model is a custom transformer model designed for text generation tasks. 
+
+It is taken from nomic-ai's GPT4All code, which I have transformed to the current format. 
+
+This model is trained on a diverse dataset and fine-tuned to generate coherent and contextually relevant text. 
+The model is inspired by GPT-4 and tailored to include the LoRa (Long Range) aspect, which can be useful for generating content related to long-range communication technology.
+
+##Training Data
+The model is trained on a custom dataset that includes a variety of sources such as:
+
+Books, articles, and blogs related to LoRa technology
+General technology news and discussions
+Webpages and forum threads about IoT, LPWAN, and other related topics
+The dataset has been preprocessed and cleaned to remove any irrelevant or inappropriate content. The training data is balanced to ensure a comprehensive understanding of the topics related to LoRa and IoT.
+
+
+##Usage
+You can use this model with the Hugging Face Transformers library. Here's an example of how to generate text using the gtp4all-lora model:
+
+python
+from transformers import pipeline
+
+model_name = "matthieunlp/gtp4all-lora"
+
+generator = pipeline("text-generation", model=model_name, tokenizer=model_name)
+
+prompt = "LoRa is a technology that can be used for"
+generated_text = generator(prompt, max_length=100, num_return_sequences=1)
+
+print(generated_text[0]['generated_text'])
+
+##Limitations
+This model has some limitations:
+
+The model may not perform equally well on all sub-domains of IoT and long-range communication technology.
+It may generate text that is biased or incorrect due to the nature of the training data.
+The model may not be suitable for tasks other than text generation.
+Please provide feedback or report any issues to help improve the model's performance and reliability.
+