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Software Details
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Current Version : - Flipping Frog v0.5
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Architecture : X86 / ARM.
- Loading Method : Plug and Play / Local Execution.
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Power Consumption : $0.00090 per X1,000 tokens.
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Estimated Response Time : 5 - 6 seconds max
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Data Transmission Pathway : Local
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Network Type : LAN Access / API Routing
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Built in Context Lengths: 128 - 8,000 est.
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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.
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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
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Small -:- 0B - 8B -:- CPU (Ryzen 5 / Intel i5 or better recommended)
Med -:- 8b-20b CPU (Ryzen 7 / Intel i7 or better recommended) 16 GB+ system RAM
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High - : - 70B+ -:- High-end CPU (Ryzen 9 / Intel i9 or better, or Apple M-series)
32 GB+ system RAM
GPU Ai - model SPECS
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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
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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