- Current Version : - Flipping Frog v0.5
- Architecture : X86 / ARM.
- Loading Method : Plug and Play / Local Execution.
- Power Consumption : $0.00090 per X1,000 tokens.
- Estimated Response Time : 5 - 6 seconds max
- Data Transmission Pathway : Local
- Network Type : LAN Access / API Routing
- Built in Context Lengths: 128 - 8,000 est.
-
Features
- Text Input Response
- Image Analyser - JPG / PDF etc .
- Custom data section analyzation
- Context Training Space / Drag and Drop Research papers.
- Context Training dependent on Context Size
- Language Translation - (better with training)
- Thinking , Image , Coding , or ML models ,all available.
-
Trained Features
- STEM / Physics / Math / Chemistry
- Language Interpreter
- Coding
- Generalization
- Thinking / Reasoning.
Hardware Requirements.
Model Sizes in B , Represents
the parameters or size , in billions.
Larger sizes require larger machines.
Machine Requirements :CPU Ai - model SPECS
- 7B - 8B -:- CPU (Ryzen 7 / Intel i7 or better recommended)
- 12B - 14B -:- High-end CPU (Ryzen 9 / Intel i9 or better, or Apple M-series) 32 GB+ system RAM
CPU Ai - model SPECS
- 7B - 8B -:- CPU (Ryzen 7 / Intel i7 or better recommended)
- 12B - 14B -:- High-end CPU (Ryzen 9 / Intel i9 or better, or Apple M-series) 32 GB+ system RAM
GPU Ai - model SPECS
- Mid Range - 14–32B GPU-accelerated -:- NVIDIA GPU with 16–24 GB VRAM Strong CPU (Ryzen 7 / i7 or better) + 32–64 GB system RAM 1TB NVMe SSD
- High performance- NVIDIA GPU with 24–48 GB+ VRAM (e.g., RTX 4090 24GB for comfortable 70B Q4, or dual GPUs / A6000 48GB for headroom) High-end CPU (Ryzen 9 / i9 or better) + 64 GB+ system RAM 1TB+ fast NVMe SSD
Future Improvements for R & D
- Memory / Hashmap context caching.
- Advanced memory vector mapping.
- Webcrawling , Web searching.
- Image and Live Camera analyzation.
- Image generation.
- Text to speech.
- Speech to text
- Computer / Device Automation.
- Cooding Assistant / Automation tools.
- Military weapons targeting systems.
- Military enemy and psychological assessment training.
- Advanced Deception Training / Analysis
- Constitutional Qualifier for American Services.
With Wipe down and rebuild protocols , for sub models , being called on for sub tasks ,
With the supervision of other personnel and tools.
Keeping model needs specified and targeted for performance and expectations.