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README.md
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# Riley-01234
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Riley Intelligence Lab prototype for advanced AI development using Phi and Transformers.
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Designed to simulate intelligence, memory, and invention capabilities.
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# Riley-01234
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**Riley Intelligence Lab prototype** for advanced AI development using Phi and Transformers.
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Designed to simulate intelligence, memory, and invention capabilities.
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---
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## ๐ฎ Zelgodiz Model for Riley-AI
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Zelgodiz is the official foundational model powering the **Riley-AI Genesis Core** โ a modular intelligence engine engineered to simulate:
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- Deep conversational memory
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- Scientific and invention-based reasoning
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- Dynamic context awareness
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- Autonomous evolution and interface control
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---
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## ๐ง Training Overview
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- **Base Model**: (e.g., `phi-1.5`, `mistral`, or `TinyLLaMA`)
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- **Fine-Tuned On**: Custom Riley dataset
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- **Frameworks**: Hugging Face Transformers, PEFT, PyTorch
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---
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## ๐ License
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This model is governed by the **Zelgodiz Model License (ZML-1.0)**.
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Redistribution, fine-tuning, or integration into commercial systems requires proper attribution and adherence to ZML-1.0 terms.
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๐ For full license terms, see the [`LICENSE`](./LICENSE) file.
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---
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## ๐ Inference Usage
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("zelgodiz")
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model = AutoModelForCausalLM.from_pretrained("zelgodiz")
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inputs = tokenizer("Hello Riley, what do you remember?", return_tensors="pt")
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outputs = model.generate(**inputs)
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print(tokenizer.decode(outputs[0]))
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---
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license: other
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tags:
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- riley-ai
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- zelgodiz
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- transformer
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- conversational
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- code-generation
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- invention-engine
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- ai-agent
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- custom-license
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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inference: true
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---
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# Riley-01234
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Riley Intelligence Lab prototype for advanced AI development using Phi and Transformers.
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Designed to simulate intelligence, memory, and invention capabilities.
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