# Antares (1B)

> Cisco Foundation AI's compact terminal agent uses a dense Granite 4.0 backbone and is post-trained with SFT and GRPO for vulnerability localization.

| Property | Value |
| --- | --- |
| Lab | Cisco (United States) |
| Released | 2026-07-21 |
| Decoder type | Dense |
| Family | Dense |
| Scale | 1B parameters |
| Context window | 131,072 tokens |
| Attention | GQA with RoPE |
| Layer mix | 40 GQA |
| KV cache / token (bf16) | 80 KiB (Moderate) |
| License | Apache License 2.0 |

**Key detail:** Retains Granite 4.0's MuP scaling multipliers and tied input/output embeddings, then adds SFT and GRPO for terminal-based vulnerability localization.

## Architecture concepts

- [Grouped-Query Attention (GQA)](https://llm-atlas-7or.pages.dev/concepts/gqa.md): Several query heads share one key/value head, shrinking the KV cache with little quality loss.

## Links

- Architecture diagram: https://sebastianraschka.com/llm-architecture-gallery/images/architectures/antares-1b.webp
- config.json: https://huggingface.co/fdtn-ai/antares-1b/blob/main/config.json
- Tech report: https://cisco-foundation-ai.github.io/antares/technical-report.pdf
- Source card (source of truth): https://sebastianraschka.com/llm-architecture-gallery/#card-antares-1b
- Web page: https://llm-atlas-7or.pages.dev/models/antares-1b/
- JSON: https://llm-atlas-7or.pages.dev/api/models/antares-1b.json

_Data from Sebastian Raschka's LLM Architecture Gallery (https://sebastianraschka.com/llm-architecture-gallery/). Synced 2026-11-04._