Riley-01234

Riley Intelligence Lab prototype for advanced AI development using Phi and Transformers.
Designed to simulate intelligence, memory, and invention capabilities.

🔮 Zelgodiz Model for Riley-AI

Zelgodiz is the official foundational model powering the Riley-AI Genesis Core — a modular intelligence engine engineered to simulate:

Deep conversational memory
Scientific and invention-based reasoning
Dynamic context awareness
Autonomous evolution and interface control

🔧 Training Overview

Base Model: (e.g., phi-1.5, mistral, or TinyLLaMA)
Fine-Tuned On: Custom Riley dataset
Frameworks: Hugging Face Transformers, PEFT, PyTorch

📜 License

This model is governed by the Zelgodiz Model License (ZML-1.0).

Redistribution, fine-tuning, or integration into commercial systems requires proper attribution and adherence to ZML-1.0 terms.

📄 For full license terms, see the LICENSE file.

🚀 Inference Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("zelgodiz")
model = AutoModelForCausalLM.from_pretrained("zelgodiz")

inputs = tokenizer("Hello Riley, what do you remember?", return_tensors="pt")
outputs = model.generate(**inputs)
print(tokenizer.decode(outputs[0]))
---
license: other
tags:
  - riley-ai
  - zelgodiz
  - transformer
  - conversational
  - code-generation
  - invention-engine
  - ai-agent
  - custom-license
language:
  - en
library_name: transformers
pipeline_tag: text-generation
inference: true
---

# Riley-01234

Riley Intelligence Lab prototype for advanced AI development using Phi and Transformers.  
Designed to simulate intelligence, memory, and invention capabilities.

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