Initial commit

LICENSE

@@ -0,0 +1,28 @@
+Innovatronix AI Model Restricted License
+
+Permissions:
+- The use of this AI model is strictly prohibited without explicit permission granted by the creator or authorized members of the association.
+- Usage for personal or commercial purposes without prior permission is prohibited.
+
+Conditions:
+- Modifications or derivative works are only legal if permission for usage is requested and granted beforehand.
+
+Liability:
+- The creator and contributors of this AI model bear no liability for any damages or consequences resulting from the use of this model.
+
+Contact Information for Permission Requests:
+innovatexcel.team@gmail.com
+
+Additional terms and conditions:
+
+Data Usage Restrictions:
+Any use of specific datasets or proprietary information incorporated into this AI model is strictly governed by the terms and conditions or licenses associated with those datasets. Usage of such data must comply with their respective permissions and restrictions.
+
+Ethical Use Policy:
+Users are expected to employ this AI model in an ethical and responsible manner. Any use that promotes hate speech, discrimination, illegal activities, or harm towards individuals or groups is strictly prohibited.
+
+Non-transferable License:
+The license to use this AI model is non-transferable and cannot be assigned or sublicensed to any other party without explicit written consent from the creator or authorized members of the association.
+
+Indemnification:
+Users agree to indemnify and hold harmless the creator, contributors, and the association from any claims, liabilities, damages, or expenses arising from the user's violation of the terms outlined in this license agreement.

README.md

@@ -1,5 +1,120 @@
 ---
 license: other
-license_name: innovatronix-custom-license
+license_name: innovatronix-restricted-license
 license_link: LICENSE
+language:
+- en
+library_name: transformers
 ---
+![Innovatronix Logo](https://i.imgur.com/6o7I0rT.png)
+# 🏠 Innovatronix Home Automation Language Model (Beta)
+
+This model, created by the Innovatronix team, serves as a lightweight LLM model tailored for home automation applications. It is a fine-tuned version of Flan T5, trained on a custom dataset containing data related to home automation. The model is designed for basic conversational interactions and is currently in beta development.
+
+## ✨ Features  
+
+- **Conversational Control:** Engage in dialogue with the model to automate smart home functions, commanding and retrieving data from connected smart devices through natural language interactions.
+
+- **Lightweight and Efficient:** Optimized for reduced storage and computational demands, allowing seamless deployment in local environments without excessive resource consumption.
+
+- **Versatile Deployment:** Flexibly deployable across various platforms, including mobile applications and web interfaces, providing users with accessibility to control their smart homes from preferred devices.
+
+## 📊 Training Data
+
+The model was fine-tuned on a meticulously handcrafted dataset encompassing a wide range of commands, queries, and contextual information pertaining to controlling and managing smart devices within a home setting.  
+
+## ❗ Beta Development
+
+Please note that this model is currently in its beta development stage. As such, it may undergo further enhancements and refinements to improve its performance and accuracy. Users should be aware that during this beta phase, the model might exhibit certain limitations or inconsistencies. Your valuable feedback and contributions are highly appreciated as they aid in the continuous refinement and advancement of this model towards its optimal functionality  
+
+## ⭐ Example usage  
+
+```python
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("Robin246/inxai")
+model = AutoModelForSeq2SeqLM.from_pretrained("Robin246/inxai") 
+
+# Adjust the parameters if needed
+def generate_response(input_prompt, model, tokenizer):
+    input_text = f"Input prompt: {input_prompt}"
+
+    input_ids = tokenizer.encode(input_text, return_tensors="pt", max_length=64, padding="max_length", truncation=True)
+
+    output_ids = model.generate(input_ids, 
+                                max_length=256, 
+                                num_return_sequences=1, 
+                                num_beams=2, 
+                                early_stopping=True,
+                                #do_sample=True,
+                                #temperature=0.8,
+                                #top_k=50
+                                ) #You can vary the top_k or add any other parameters
+
+    generated_output = tokenizer.decode(output_ids[0], skip_special_tokens=True)
+    return generated_output
+
+        
+while True:
+    user_input = input("Enter prompt: ")
+    user_input = ["{}".format(user_input)]
+    if user_input=='Quit':
+        break
+    else:
+        reply = generate_response(user_input, model, tokenizer)
+        print("Generated Reply({}):".format(model), reply)
+        
+#INXAI from huggingface 'Robin246/inxai'
+#Developer credits - Robinkumar, Kiransekar, Nithishkumar and Magesh
+```
+
+## ⚠️ Limitations and Caution
+
+**Caution:** Potential for Unmoderated Outputs
+
+This AI model, due to the absence of content moderation during its training, carries the inherent risk of producing responses that may diverge from the intended context or contain content unsuitable for certain audiences. The unmoderated nature of the training data could lead to unpredictable outputs, including but not limited to, responses that may convey inaccurate information, propagate biases, or generate insensitive content. Users are strongly advised to exercise caution and discretion when using this model, especially in contexts where precision, accuracy, or sensitivity are paramount.
+
+**Limitations and Unmoderated Outputs**
+
+It's crucial to acknowledge that the unmoderated nature of this model poses inherent limitations. The lack of oversight during the model's training could result in outputs that do not align with expected standards of accuracy, appropriateness, or ethical considerations. Users should remain vigilant and be aware that while efforts have been made to enhance its functionality, the model might generate responses that are unexpected, inappropriate, or potentially harmful in certain contexts.
+
+**Disclaimer: Responsibility and Unmoderated Outputs**
+
+It's important to emphasize that neither the organization nor the creator of this AI model assumes responsibility for the unmoderated nature of its outputs. Users utilizing this model do so at their own discretion and assume the associated risks. The organization and its contributors disclaim liability for any outcomes or consequences arising from the use of unmoderated outputs generated by this model.
+
+## 🪪 License: 
+**License Restrictions**
+
+This AI model operates under a custom license, enforcing specific limitations and guidelines for its utilization. Users must strictly adhere to the outlined rules and conditions detailed in the provided license documentation.
+
+**Understanding the Terms**
+
+The license imposes stringent boundaries on usage, modification, and distribution. It's imperative for users to thoroughly comprehend and comply with the stipulated terms to ensure ethical and lawful utilization of the model.
+
+**Compliance is Key**
+
+Adherence to the license terms is mandatory. Users hold the responsibility for compliance, ensuring that their usage aligns with the established guidelines to avoid potential legal consequences.
+
+**Refer to Documentation**
+
+For a comprehensive understanding of the restrictions and guidelines governing this model's usage, users are urged to refer to the provided license documentation. Any uncertainties regarding the terms should be addressed before utilizing the model.
+
+### ✎ Citation
+
+**Developers:**  
+- Robinkumar
+- Kiransekar
+- Magesh
+- Lathikaa Shri
+<!-- - Nithishkumar -->
+
+**Base model credits**  
+This model was fine-tuned from Google's Flan-T5 Model using a custom dataset.  
+
+## 🔧 Contribute for the improvement
+Your insights matter greatly, and we invite you to engage with us either in the Community Section or through email contact. Whether you share your comments, thoughts, or feedback, your valuable input directly influences the development and enhancement of our evolving beta model. Contribute today to shape the future of our model and make a tangible impact. Your voice is essential in guiding our progress, so take this opportunity to be heard and play a pivotal role in perfecting our technology.
+
+## 📬 Contact Information
+
+For any support or inquiries, please reach out to us at innovatexcel.team@gmail.com.  
+You can check out our Github page [here](https://github.com/InnovateXcel)

config.json

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+{
+  "_name_or_path": "google/flan-t5-small",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 1024,
+  "d_kv": 64,
+  "d_model": 512,
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+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
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+  "num_decoder_layers": 8,
+  "num_heads": 6,
+  "num_layers": 8,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "task_specific_params": {
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+      "length_penalty": 2.0,
+      "max_length": 200,
+      "min_length": 30,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4,
+      "prefix": "summarize: "
+    },
+    "translation_en_to_de": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to German: "
+    },
+    "translation_en_to_fr": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to French: "
+    },
+    "translation_en_to_ro": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to Romanian: "
+    }
+  },
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 32128
+}

generation_config.json

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+{
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+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.35.2"
+}

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special_tokens_map.json

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