VeriOS Agent 7B

A 7B parameter conversational AI agent model available in multiple GGUF quantization formats, optimized for local deployment with llama.cpp and compatible runtimes.

Overview

This skill provides access to the VeriOS Agent 7B model, a conversational AI agent fine-tuned for various tasks. The model is available in weighted/imatrix quantized GGUF formats, enabling efficient inference on consumer hardware while maintaining quality.

Model Details

Available Quantization Formats

The model is available in multiple quantization levels to balance quality, speed, and memory usage:

Instructions

When a user requests to use this model, follow these steps:

1. **Determine Requirements**

- Ask the user about their hardware constraints (RAM, VRAM)

- Recommend an appropriate quantization level based on their resources

- Q4_K_M is the default recommendation for balanced performance

2. **Setup Runtime**

- Verify the user has a compatible runtime installed (llama.cpp, Ollama, etc.)

- If not installed, guide them to install llama.cpp or Ollama

- For llama.cpp: `git clone https://github.com/ggerganov/llama.cpp && cd llama.cpp && make`

- For Ollama: `curl -fsSL https://ollama.com/install.sh | sh`

3. **Download Model**

- Provide the appropriate download link from HuggingFace

- Base URL: `https://huggingface.co/mradermacher/VeriOS-Agent-7B-i1-GGUF`

- Example for Q4_K_M: `https://huggingface.co/mradermacher/VeriOS-Agent-7B-i1-GGUF/resolve/main/VeriOS-Agent-7B.i1-Q4_K_M.gguf`

4. **Run Inference**

- For llama.cpp:

```bash

./llama-cli -m /path/to/VeriOS-Agent-7B.i1-Q4_K_M.gguf -p "Your prompt here" -n 512

```

- For Ollama (create Modelfile first):

```

FROM /path/to/VeriOS-Agent-7B.i1-Q4_K_M.gguf

```

Then: `ollama create verios-agent -f Modelfile && ollama run verios-agent`

5. **Optimize Performance**

- Adjust context length with `-c` flag (default 2048)

- Use GPU acceleration with `-ngl` flag to offload layers

- Example: `./llama-cli -m model.gguf -ngl 32 -c 4096`

6. **Configure for Tasks**

- This is a conversational agent model

- Use appropriate system prompts for specific tasks

- Maintain conversation context for multi-turn interactions

Quantization Quality Guide

Based on the model card recommendations:

Example Usage

```bash

Download recommended quant

wget https://huggingface.co/mradermacher/VeriOS-Agent-7B-i1-GGUF/resolve/main/VeriOS-Agent-7B.i1-Q4_K_M.gguf

Run with llama.cpp (GPU acceleration)

./llama-cli -m VeriOS-Agent-7B.i1-Q4_K_M.gguf \

-p "You are a helpful AI assistant." \

-n 512 \

-ngl 32 \

--interactive

```

Notes

References