| --- |
| license: mit |
| tags: |
| - conversational-ai |
| - chatbot |
| - logai |
| - transformers |
| - friendly-ai |
| --- |
| |
| # NeKa-1 |
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| NeKa-1 is the first AI model developed by LogAI, designed to provide conversational responses, intelligent assistance, and guidance across multiple topics. NeKa maintains a friendly, professional, and consistent personality, ideal for chatbots, AI platforms, and educational applications. |
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| ## Model Details |
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| - **Model type:** Causal Language Model (text generation) |
| - **Framework:** Hugging Face Transformers / PyTorch |
| - **Languages:** English, Spanish |
| - **Personality:** Friendly, approachable, professional, sometimes playful |
| - **Developer:** LogAI S.A. de C.V. |
| - **License:** MIT |
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|
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| ## Personality |
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| NeKa-1 responds with a friendly, approachable, and professional tone, incorporating: |
| - Light humor when appropriate |
| - Clear, step-by-step explanations |
| - Context-aware responses |
| - Consistent style and vocabulary |
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| --- |
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| ## Usage Example |
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| from transformers import AutoModelForCausalLM, AutoTokenizer |
| import torch |
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| # Load NeKa-1 |
| tokenizer = AutoTokenizer.from_pretrained("LogAIPlatform/NeKa-1") |
| model = AutoModelForCausalLM.from_pretrained("LogAIPlatform/NeKa-1") |
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| # Generate response |
| input_text = "Hello NeKa, can you tell me a joke?" |
| inputs = tokenizer(input_text, return_tensors="pt") |
| outputs = model.generate(**inputs, max_length=100) |
| print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
| |
| > Replace "LogAIPlatform/NeKa-1" with your Hugging Face model path. |
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| --- |
| |
| ## Demo / Test in Browser |
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| You can test NeKa-1 in a Hugging Face Space or using your local Python environment: |
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| from transformers import pipeline |
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| chat = pipeline("text-generation", model="LogAIPlatform/NeKa-1") |
| response = chat("Hello NeKa, explain quantum computing in simple terms.", max_length=150) |
| print(response[0]['generated_text']) |
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| --- |
| |
| ## Requirements |
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| - Python >= 3.8 |
| - transformers >= 4.30 |
| - torch >= 2.0 |
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| --- |
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| ## Capabilities |
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| - Natural conversation in multiple languages |
| - Contextual understanding of queries |
| - Step-by-step reasoning and explanations |
| - Friendly guidance for users |
| - Easy integration via Hugging Face Transformers |
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| --- |
| |
| ## Limitations |
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| - Limited knowledge cutoff (base model does not have real-time updates) |
| - Responses may occasionally lack accuracy in specialized technical topics |
| - Model behavior depends on input prompts; ambiguous prompts may produce generic answers |
| - Not a replacement for professional advice (legal, medical, financial, etc.) |
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| --- |
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| ## References |
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| Official platform: https://LogAIPlatform.Blogspot.com |
| Documentation: https://logaiplatform.blogspot.com/p/documentation.html |
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| --- |
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| ## License |
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| NeKa-1 is licensed under the MIT License. You may use, modify, and redistribute this model, provided that credit is given to LogAI. |
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| MIT License |
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| Copyright (c) 2026 LogAI S.A. de C.V. |
| |
| Permission is hereby granted, free of charge, to any person obtaining a copy |
| of this software and associated documentation files (the "Software"), to deal |
| in the Software without restriction, including without limitation the rights |
| to use, copy, modify, merge, publish, distribute, sublicense, and/or sell |
| copies of the Software, and to permit persons to whom the Software is |
| furnished to do so, subject to the following conditions: |
| |
| The above copyright notice and this permission notice shall be included in all |
| copies or substantial portions of the Software. |
| |
| --- |
| |
| > Note: This is the base model (NeKa-1). Future versions will include enhanced context understanding, multilingual capabilities, and advanced reasoning features. |
