Our first generation of open-weight models
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Open-source reasoning models, multimodal systems, and private mobile-first local AI.
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rrchat AI
Open-source compact reasoning models & private mobile-ready local AI
🧠 Models: RR-Gen1 Series
Compact multimodal reasoning models with dual-mode inference (deep CoT <think> / instant response):
| Model | Base | Active Size | Modalities | Highlights | Links |
|---|---|---|---|---|---|
| Mercury-1.7B | LFM3-VL-2B |
1.7B | Text + Vision | Ultra-fast edge reasoning, coding (+15% HumanEval), 97% tool-use | Model · GGUF |
| Cerberus-E4B | gemma-4-E4B-it |
4.0B | Text + Vision + Audio | Heavy STEM reasoning (60% MATH-500), audio perception, bilingual | Model · GGUF |
📱 Client: rrchat
Privacy-first mobile interface that connects your phone to your PC's local llama.cpp / Ollama:
- 🔒 100% Local & Private: Direct local network connection, zero telemetry.
- 👁️ Multimodal Chat: Vision, voice audio transcription, and document analysis.
- 🌐 Web Search: Privacy-preserving agentic search without cloud lock-in.
models 6
rrchat/Mercury-Acad-1.7B
Image-Text-to-Text • 2B • Updated • 34 • 1
rrchat/Mercury-Acad-1.7B-GGUF
Image-Text-to-Text • 2B • Updated • 260 • 1
rrchat/Mercury-1.7B-GGUF
Image-Text-to-Text • 2B • Updated • 325 • 1
rrchat/Cerberus-E4B-GGUF
Image-Text-to-Text • 8B • Updated • 896 • 3
rrchat/Mercury-1.7B
Image-Text-to-Text • 2B • Updated • 30 • 2
rrchat/Cerberus-E4B
Text Generation • Updated • 20 • 2
datasets 0
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