---
language:
- en
license: apache-2.0
tags:
- function-calling
- agent
- homelab
- gemma
- qwen
- eightly-os
- tool-use
- conversational
- gguf
pipeline_tag: text-generation
---

# Eight.ly Agent

Fine-tuned on 4,684 Eight.ly OS tool-calling examples across 41 NAS management tools (Docker, storage, VMs, LXC, file sharing, system administration).

## Architecture

```
user query
    |
    v
+---------------+
| Nova Router   |
| (Go intent    |
|  classifier)  |
+-------+-------+
        |
   +----+----+
   v         v
+------+  +----------------+
| fg   |  | conversational |
|359MB |  | tier (gemma2,  |
|tool  |  | q4b, q8b, e2b) |
|calls |  |                |
+------+  +----------------+
```

The Nova Router is a zero-latency Go pattern matcher (57 test cases) that classifies queries into `no_tool`, `tool`, or `maybe`. Tool queries route to FunctionGemma for structured tool-call extraction via GBNF grammar. Conversational queries skip directly to the response model.

## Evaluation

| Metric | Value |
|--------|-------|
| Tool-call accuracy (fg) | 87.5% (13/15 standard audit suite) |
| FunctionGemma latency | Sub-1s on CPU |
| Median tool-query response | 6.9s end-to-end |
| No-tool response time | 1-3s |
| System queries | 10-18s |
| Container/health queries | 6-14s |

Evaluated by Opus 4.7 auditor over 8 rounds. Remaining sharp edges: Docker stop/kill semantics, acknowledgment over-eagerness, storage pool labeling.

## Models

| Model | Base | GGUF Size | Role |
|-------|------|-----------|------|
| eightly-agent-fg | FunctionGemma 270M | 359 MB | Tool router (dual-model worker) |
| eightly-agent-q4b | Qwen3 4B | 2.4 GB | Single-model fallback |
| eightly-agent-q8b | Qwen3 8B | 4.7 GB | Best single-model quality |
| eightly-agent-e2b | Gemma 4 E2B | 3.2 GB | Experimental (not yet deployed) |

Conversational tier uses stock `gemma2:2b` (1.6 GB) as the response synthesizer.

## Training Data

- 4,684 tool-calling examples (FunctionGemma fine-tune)
- 41 tools across 6 domains: Docker, Storage, VMs, LXC, File Sharing, System
- Dataset: [smashingtags/eightly-agent-dataset](https://huggingface.co/datasets/smashingtags/eightly-agent-dataset)

## Usage

```bash
# Pull the FunctionGemma tool router
ollama pull smashingtags/eightly-agent-fg

# Pull the single-model fallback (Qwen3 4B)
ollama pull smashingtags/eightly-agent-q4b

# Pull the high-quality single-model (Qwen3 8B)
ollama pull smashingtags/eightly-agent-q8b

# Run locally
ollama run smashingtags/eightly-agent-q4b
```

These models are designed to work within the Eight.ly OS Nova assistant pipeline. FunctionGemma expects a scoped tool catalog with GBNF grammar constraints. The q4b/q8b models support native Ollama tool calling.

## Example: Tool-Calling Flow

**User:** "How much disk space is free?"

**Step 1 — FunctionGemma routes to tool:**
```
<start_function_call>call:get_storage_status{}<end_function_call>
```

**Step 2 — Tool executes, returns real data:**
```json
{"mountpoint": "/mnt/storage", "total": "69.8 GB", "used": "22 MB", "free": "69.8 GB", "percent": "0.03%"}
```

**Step 3 — Conversational model responds:**
> "Your storage pool at /mnt/storage has 69.8 GB free out of 69.8 GB total — essentially empty at 0.03% used."

End-to-end: ~6.9 seconds median. FunctionGemma decision: sub-1 second.

## 41 Tools

**Docker:** list_containers, get_container_logs, get_container_stats, list_docker_stacks, list_docker_images, list_docker_networks, list_docker_volumes, container_action, pull_docker_image, install_app

**Storage:** get_storage_status, get_storage_capacity, get_cache_status, get_snapraid_status, get_disk_health, get_zfs_pools, run_snapraid_sync, run_smart_test, spin_down_disks, create_backup

**VMs:** list_vms, get_vm_stats, list_vm_snapshots, vm_action, create_vm_snapshot

**LXC:** list_lxc_containers, lxc_action

**File Sharing:** get_smb_shares, get_nfs_exports, create_smb_share, create_nfs_export

**System:** get_system_info, get_system_version, get_system_logs, get_node_time, get_network_interfaces, get_firewall_rules, get_health_overview, get_nova_models, search_apps, set_timezone, reboot_system

## Roadmap

- Tool catalog growing from 41 tools. Next: scheduling tools, backup management, network diagnostics.
- Multi-turn context for follow-up questions.
- Additional domain scoping refinements based on real user feedback.
- Gemma 4 E2B deployment and evaluation.

## Links

- **Product:** [eight.ly](https://eight.ly)
- **Dataset:** [smashingtags/eightly-agent-dataset](https://huggingface.co/datasets/smashingtags/eightly-agent-dataset)
- **Discord:** [discord.gg/Y9jbyrnTTj](https://discord.gg/Y9jbyrnTTj)

## License

Apache 2.0