| --- |
| title: Ai Training Simulator |
| emoji: 🧠 |
| colorFrom: blue |
| colorTo: green |
| sdk: gradio |
| sdk_version: 6.16.0 |
| python_version: '3.13' |
| app_file: app.py |
| pinned: false |
| license: mit |
| short_description: Idle/strategy game |
| hf_oauth: true |
| --- |
| # AI Training Simulator |
|
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| **Build Small Hackathon 2026 — Chapter Two (Adventure in Thousand Token Wood)** |
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| A browser strategy/idle game where you manage a fake AI startup, all in a terminal-like interface. |
|
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| ## How it works |
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| - Start with **$100** |
| - Buy upgrades (model size, dataset size/quality, architecture, hardware) |
| - Run **Train Model** - cost and reward are simulated based on your upgrade combination |
| - The chat interface uses FlameF0X/Qwen3-4B-Distilled-Claude-4.6 with huggingface inference. It's a CoT model. |
| - Low quality → high temperature → incoherent word salad |
| - Upgrade your stack → temperature drops → coherent output |
| - Unlock **Cloud Inference** for recurring revenue |
|
|
| ## Badges targeted |
| - 🎨 Off-Brand — fully custom UI (no default Gradio look) |
|
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| ## Files |
|
|
| | File | Purpose | |
| |------|---------| |
| | `app.py` | Gradio app + action handler | |
| | `state.py` | Pure Python game logic (train, upgrade, cloud) | |
| | `game_config.py` | **All balance numbers** — edit this to tune the game | |
| | `requirements.txt` | Only `gradio` needed (model runs in browser) | |
|
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| ## Customising / balancing |
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| Everything tunable is in `game_config.py`: |
| - `STARTING_MONEY` — how much the player starts with |
| - `UPGRADES` — levels, costs, quality scores per upgrade |
| - `BASE_TRAIN_COST` / multiplier tables — training run economics |
| - `BASE_REWARD` + `QUALITY_EXPONENT` — reward curve shape |
| - `REWARD_NOISE_PCT` — variance per run |
| - `CLOUD_*` constants — cloud inference economics |
| - `CHAT_TEMP_*` — how temperature maps to model quality |
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| Author: Martico2432 |
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|
