GeniusPro Coder v1
GeniusPro Coder v1 is a coding-focused AI assistant model built for providing intelligent code generation, explanation, and general-purpose AI assistance.
Highlights
- Code generation, debugging, and explanation across multiple languages
- Natural conversational ability for non-code tasks
- OpenAI-compatible API (drop-in replacement for existing tooling)
- Streaming support for real-time token delivery
- Voice mode with concise, spoken-friendly responses
- Runs locally on consumer hardware via Ollama
Intended Use
GeniusPro Coder v1 is designed for:
- Code assistance — generating, reviewing, debugging, and explaining code
- Chat — general-purpose question answering and conversation
- Voice interaction — concise, natural-language responses optimized for text-to-speech
It powers the GeniusPro platform, which includes a web-based chat dashboard and a real-time voice assistant.
Supported Parameters
| Parameter | Description |
|---|---|
temperature |
Controls randomness (0.0 = deterministic, 1.0 = creative) |
top_p |
Nucleus sampling threshold |
max_tokens |
Maximum tokens to generate |
stop |
Stop sequences |
stream |
Enable streaming responses (SSE) |
Available Endpoints
| Endpoint | Method | Description |
|---|---|---|
/v1/models |
GET | List available models |
/v1/chat/completions |
POST | Chat completions (streaming + non-streaming) |
/v1/voice |
WebSocket | Real-time voice interaction |
/health |
GET | Health check (no auth required) |
Running Locally with Ollama
# Pull the model
ollama pull geniuspro-coder-v1
# Run interactively
ollama run geniuspro-coder-v1
# Serve via API
ollama serve
Once running, the model is available at http://localhost:11434 with the same OpenAI-compatible API format.
Infrastructure
GeniusPro Coder v1 runs on dedicated hardware for low-latency inference:
- GPU: NVIDIA RTX 5090 (32 GB VRAM)
- Runtime: Ollama for model serving
- Gateway: FastAPI reverse proxy with auth, rate limiting, and usage tracking
- Deployment: Ubuntu Server behind Nginx + Cloudflare Tunnel
Limitations
- Optimized for English. Other languages may work but are not officially supported.
- Code generation quality varies by language — strongest in Python, JavaScript/TypeScript, and common web technologies.
- Not suitable for safety-critical applications without human review.
- Context window and output length are bounded by the underlying architecture.
License
This model is released under the Apache 2.0 License.