speedy, performant and small tool calling agents
Project description
tiny-agent-α
Installation
pip install dria_agent
To use MLX as backend
pip install 'dria_agent[mlx]'
For HuggingFace backend
pip install 'dria_agent[huggingface]'
In order to use extra tooling select a backend (e.g. mlx) and run:
pip install 'dria_agent[mlx, tools]'
Models
| Model | Description | HF Download Link | Ollama Tag | Size |
|---|---|---|---|---|
| Tiny-Agent-a-3B (8bit) | High performance and reasoning | Download | driaforall/tiny-agent-a:3B-q8_0 | 3.3 GB |
| Tiny-Agent-a-3B (4bit) | Tradeoff 3B quality for memory | Download | driaforall/tiny-agent-a:3B-q4_K_M | 1.9 GB |
| Tiny-Agent-a-1.5B (8bit) | Balanced performance and speed | Download | driaforall/tiny-agent-a:1.5B-q8_0 | 1.6 GB |
| Tiny-Agent-a-1.5B (4bit) | Faster CPU inference, performance tradeoff | Download | driaforall/tiny-agent-a:1.5B-q4_K_M | 986 MB |
| Tiny-Agent-a-0.5B (8bit) | Ultra-light | Download | driaforall/tiny-agent-a:0.5B-q8_0 | 531 MB |
a fast and powerful tool calling model designed to run on edge devices.
3B 8bit high performance and quality download
3B 4bit balanced performance and speed download
1.5B 8bit fast CPU inference download
1.5B 4bit faster CPU inference download
0.5B 8bit ultra-light download
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