--- license: mit language: en tags: - conversational - chatbot - genesis-ai - json-model - lightweight - offline datasets: [] library_name: raw pipeline_tag: text-generation --- # Genesis 5.5 A lightweight JSON conversational AI model. Works offline. No GPU required. ## Overview Genesis 5.5 maps user inputs to handcrafted responses. It does not use neural networks or inference engines. Just load the JSON and start chatting. ### Available Variants | File | Description | Size | |---|---|---| | `Genesis-5.5.json` | Standard model — direct response lookup | ~55 MB | | `Genesis-5.5-Thinking.json` | Model with `<\|think\|>` reasoning blocks in every response | ~115 MB | - **Model**: Genesis 5.5 - **Format**: JSON (key to response) - **Entries**: 525,786 per variant - **Language**: English - **License**: MIT ## Features - **Instant responses**. No computation. Just a lookup. - **Fully offline**. No internet or API calls needed. - **Zero dependencies**. Just a JSON parser and string matching. - **Massive coverage**. 525K+ entries spanning greetings, farewells, emotional support, philosophy, science topics, capabilities, and more. - **Reasoning simulation** (Thinking variant). Each response includes a `<|think|>` internal monologue. Clients can show this as chain-of-thought. ## Categories The model covers 525,786 conversation patterns across 20+ categories. | Category | Approx. Count | Examples | |---|---|---| | Emotional Expression | ~290,000 | i feel sad, im happy, i am tired, i feel lonely | | Identity & Nature | ~35,000 | are you a bot, who are you, are you sentient, what is your name | | Philosophy & Beliefs | ~10,000 | meaning of life, do you believe in god, what is consciousness, aliens | | Greetings | ~8,000 | hello, hi, hey, good morning, howdy, aloha, ayy | | Check-ins | ~4,000 | how are you, hows it going, what's up | | Farewells | ~1,200 | bye, goodbye, see you, catch you later, peace out, adios | | Capabilities | ~1,000 | can you help me, can you code, can you tell a joke, can you translate | | Trivia & Facts | ~350 | did you know, tell me a fact, fun fact | | Recommendations | ~130 | can you recommend a book, can you recommend a movie | | Affirmations & Thanks | ~70 | thanks, you're awesome, i love you, best bot | | Discourse & Reactions | ~60 | ok, cool, nice, wow, got it, agreed, fair enough | | Creator Info | ~50 | who made you, what is xpdevs, what is doorsos | | Jokes & Riddles | ~30 | tell me a joke, crack me up, riddle | | Advice & Tips | ~15 | advice for today, benefits of, best way to | | Preferences | ~12 | coffee or tea, cats or dogs, beach or mountains | | Identity | ~9 | who are you, introduce yourself, what can you do | | Binary & Tech | ~8 | binary for hello, 01001000 | | Other (topic-based) | ~175,000 | creative writing, cooking tips, science explainers, history, space, nature, technology, health, etc. | ## Reasoning Tags (Thinking Variant) Every response in the Thinking variant includes a `<|think|>` tag with simulated reasoning. ```json { "who are you": "<|think|>User is asking about my identity. I should be clear and friendly — state my name, who built me, and what I do.I'm Genesis 5.5 — a conversational model built by XPDevs. I'm here to chat, help, and keep you company!" } ``` Clients can parse these tags. The thinking content can be shown before the clean response. ## Usage (Python) ```python import json, re with open("5.5/Genesis-5.5.json") as f: model = json.load(f) def respond(input_text, model): clean = input_text.lower().strip() if clean in model: raw = model[clean] clean = re.sub(r"<\|think\|>.*?", "", raw).strip() return clean return "I'm not sure how to respond to that. Could you rephrase?" print(respond("hello", model)) ``` ## File Structure ``` 5.5/ Genesis-5.5.json # Standard model data (~55 MB) Genesis-5.5-Thinking.json # Model with reasoning blocks (~115 MB) README.md # This file ``` The JSON is a flat object. ```json { "ver": "Genesis 5.5", "hello": "Hey, good to see you! What's good? 😄", "bye": "Goodbye! Talk to you later — Genesis signing off. ✌️", ... } ``` ## Limitations - **No generative capabilities**. Responses are pre-written. 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. ## License MIT. Free to use, modify, and distribute. --- Built by XPDevs.