| # ExocoreV1 |
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| A from-scratch AI system built around **ExocoreV1** — a powerful 751M-parameter language model, fully rebranded and independent of any third-party naming. |
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| **HuggingFace:** https://huggingface.co/Exocore/ExocoreV1 |
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| ## Project Overview |
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| ExocoreV1 is a full-stack AI chat and training platform: |
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| - **Chat interface** — Talk to ExocoreV1 with Fast, Thinking, and Deep Think modes |
| - **Research tools** — Web search (DuckDuckGo) + multi-URL reader integrated into the chat pipeline |
| - **Training page** — Train new models from text, with live Chart.js loss curve and architecture tree visualization |
| - **Auto-train** — Gemini-powered automatic data generation + training |
| - **Auto-load** — Exocore.pt loads automatically on startup (no button click needed) |
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| ## Architecture |
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| - **Backend**: Python + Flask (`main.py`) |
| - **Model engine**: `exocore_model.py` — ExocoreLM (28-layer transformer, 751M params, GQA, RoPE, SwiGLU) |
| - **Training**: `trainer.py` — MiniGPT character-level trainer + ExocoreV1 inference |
| - **Gemini client**: `gemini_client.py` |
| - **Templates**: `templates/index.html`, `templates/train.html` |
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| ## Key Files |
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| | File | Purpose | |
| |------|---------| |
| | `main.py` | Flask server, all API routes | |
| | `exocore_model.py` | ExocoreLM architecture (Qwen3-compatible, ExocoreV1 branded) | |
| | `trainer.py` | Training loop + MiniGPT + ExocoreV1 inference | |
| | `gemini_client.py` | Gemini API integration | |
| | `models/trained/Exocore.pt` | ExocoreV1 model weights (751M params, PROTECTED) | |
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| ## ExocoreV1 Model Architecture |
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| | Component | Value | |
| |-----------|-------| |
| | Parameters | 751.6M | |
| | Layers | 28 | |
| | Hidden size | 1024 | |
| | Attention heads | 16Q / 8 KV | |
| | Head dim | 128 | |
| | FFN intermediate | 3072 (SwiGLU) | |
| | Vocab size | 151,936 | |
| | Max context | 40,960 tokens | |
| | RoPE theta | 1,000,000 | |
| | Precision | bfloat16 | |
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| ## API Endpoints |
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| | Endpoint | Method | Description | |
| |----------|--------|-------------| |
| | `/api/models` | GET | List all available models | |
| | `/api/load` | POST | Load a model | |
| | `/api/chat` | POST | Stream chat (SSE) | |
| | `/api/clear` | POST | Clear chat history | |
| | `/api/status` | GET | Server/model status | |
| | `/api/autoload-status` | GET | Auto-load progress | |
| | `/api/model-details` | GET | Current model architecture info | |
| | `/api/search` | POST | DuckDuckGo web search | |
| | `/api/read-link` | POST | Fetch and parse URL content (multi-link) | |
| | `/api/train/start` | POST | Start training | |
| | `/api/train/status` | GET | Training status + loss history | |
| | `/api/train/stop` | POST | Stop training | |
| | `/api/train/models` | GET | List trained models | |
| | `/api/train/model-info/<name>` | GET | Model architecture info | |
| | `/api/gemini/*` | POST/GET | Gemini integration | |
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| ## Chat Modes |
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| | Mode | Description | |
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| | Fast | Direct answer, no thinking | |
| | Thinking | Single-pass reasoning before answering | |
| | Deep Think | Two-pass multi-step reasoning (Pass 1 + Pass 2 think blocks) | |
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| ## Research Features |
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| - **Web search**: DuckDuckGo HTML scraping, returns title + snippet + URL |
| - **Read Page**: Fetches any URL, strips nav/scripts, returns clean text (up to 4000 chars) |
| - **Multi-link reading**: Read up to 4 URLs simultaneously and merge into research context |
| - **Context injection**: Research context is automatically injected into the model prompt |
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| ## User Preferences |
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| - No system prompt exposed in UI — ExocoreV1 identity is baked into the model prompt automatically |
| - Exocore.pt is permanently protected from deletion |
| - No "qwen" branding anywhere in the UI or code |
| - Model auto-loads on startup |
| - No system prompt field in UI — identity lives inside the model |
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