---
license: mit
language: en
tags:
- conversational
- chatbot
- genesis-ai
- json-model
- roleplay
- lightweight
- offline
datasets: []
library_name: raw
pipeline_tag: text-generation
---

# Genesis-SPT-1.0-NV25

A lightweight JSON conversational AI model. Works offline. No GPU required.

## Overview

Genesis-SPT-1.0 maps user inputs to handcrafted responses. It does not use neural networks or inference engines. Just load the JSON and start chatting.

- **Model**: Genesis-SPT-1.0-NV25 (Legacy modal)
- **Format**: JSON (key to response)
- **Size**: ~55 KB (249 entries)
- **Language**: English
- **License**: MIT

## Features

- **Instant responses**. No computation. Just a lookup.
- **Fuzzy matching**. Handles typos, contractions, and paraphrases.
- **Reasoning simulation**. Each response has an internal monologue using `<|think|>` tags. Clients can show this as chain-of-thought.
- **Fully offline**. No internet or API calls needed.
- **Zero dependencies**. Just a JSON parser and string matching.

## Categories

The model covers 249 conversation patterns across 15+ categories.

| Category | Count | Examples |
|---|---|---|
| Greetings | 18 | hello, hi, hey, good morning, howdy |
| Slang & Reactions | 26 | lol, haha, omg, based, no cap, fr fr |
| Acknowledgements | 18 | ok, cool, nice, wow, got it, makes sense |
| Farewells | 14 | bye, goodbye, see you, later, peace out |
| Capabilities | 10 | can you help me, can you code, can you chat |
| Negative Emotions | 10 | i'm sad, i'm stressed, i'm scared, i'm lonely |
| Positive Emotions | 8 | i'm happy, i'm excited, i'm great |
| Fun & Entertainment | 8 | tell me a joke, fun fact, tell me a riddle |
| Creator Info | 9 | who made you, what is xpdevs, what is doorsos |
| Nature Questions | 9 | are you sentient, can you think, are you real |
| Philosophy | 7 | meaning of life, what is love, consciousness |
| Affirmations | 7 | you're awesome, i love you, you rock |
| Identity | 6 | who are you, introduce yourself |
| Thanks | 6 | thanks, thank you, appreciate it |
| Check-ins | 5 | how are you, how's it going |
| Other | 88 | advice, can you explain, tell me about doorsos, etc. |

## Reasoning Tags

Every response includes a `<|think|>` tag with simulated reasoning.

```json
{
  "hello": "<|think|>User is greeting me. Simple opener, probably just starting a conversation. I should respond warmly and invite them to share what they need.</|think|>Hey there! Genesis here, ready to help! What's on your mind?"
}
```

Clients can parse these tags. The thinking content can be shown before the clean response.

## Usage (Python)

```python
import json, re

with open("Genesis-SPT-1.0-original.json") as f:
    model = json.load(f)

def respond(input_text, model):
    input_lower = input_text.lower().strip()
    if input_lower in model:
        raw = model[input_lower]
        clean = re.sub(r"<\|think\|>.*?</\|think\|>", "", raw).strip()
        return clean
    best_key = None
    best_score = 0
    for key in model:
        if key in ("ver", "ModeInfo"):
            continue
        if key.lower() in input_lower:
            score = len(key) / len(input_lower)
            if score > best_score:
                best_score = score
                best_key = key
    if best_key:
        raw = model[best_key]
        clean = re.sub(r"<\|think\|>.*?</\|think\|>", "", raw).strip()
        return clean
    return "No match found."

print(respond("hello", model))
```

## File Structure

```
Genesis-SPT-1.0-original.json   # Model data
README.md                       # This file
```

The JSON is a flat object.

```json
{
  "ver": "Genesis-SPT-1.0-NV25 - Legacy modal",
  "hello": "<|think|>...</|think|>Hey there...",
  "bye": "<|think|>...</|think|>Take care...",
  ...
}
```

## Limitations

- **No generative capabilities**. Responses are handcrafted. The model cannot answer questions outside its dataset.
- **No memory**. Each response is stateless. Conversation history is not considered.
- **English only**. Designed for English conversation patterns.
- **Small scope**. 249 entries cover common chat patterns but not deep knowledge.

## License

MIT. Free to use, modify, and distribute.

---

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