ICE 0001
The "ice" model is a very robust, medium-sized model for human-like conversations, designed for quick chats and small code snippets.
The ice model was released with massive equations:
Major Improvements
- It was trained on 5.47 billion Codex conversations.
- It was also trained on more than 30 billion human conversations to better adapt to different Arabic dialects and multiple languages.
Key Specifications
- Model Family: ICE AI
- ID: ice-0001
- Model Size: 8B Parameters
- Context Length: 32,768 tokens
- Format: Transformers
- Inference Support: CPU / GPU
- Primary Focus: Human-like conversational AI
Training
Trained on approximately 36 trillion tokens across 119 languages and dialects, with a strong focus on multiple Arabic dialects, international languages, and programming/code data.
Recommended Usage
ICE AI performs best when used for:
- General conversations
- multilingual chat
- Software development
- Code generation
- Code debugging
- Technical questions
- Scripting and automation
- Local offline AI deployment
⚠️ Notes
- Designed for conversational and coding tasks.
- Output quality may vary depending on the quantization level and hardware.
- Best results are achieved with structured prompts.
- Larger context sizes may require substantial RAM/VRAM.
About Dark
DarkPs is an AI organization owned by FanuonAI, developing and maintaining open-source AI models such as DarkIT, ICE AI, and DarkCoder.
Platform: https://dark.ps