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speedy, performant and small tool calling agents

Project description

tiny-agent-α

Installation

To install the package run: (Best for CPU inference)

pip install dria_agent

To use MLX as backend for macOS.

pip install 'dria_agent[mlx]'

For HuggingFace backend for GPU.

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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