# Llama 3.2 (3B)

> Small Llama baseline used to show how closely Nanbeige follows the mainstream compact decoder recipe.

| Property | Value |
| --- | --- |
| Lab | Meta (United States) |
| Released | 2024-09-25 |
| Decoder type | Dense |
| Family | Dense |
| Scale | 3B parameters |
| Context window | 128,000 tokens |
| Attention | GQA |
| Layer mix | 28 GQA |
| KV cache / token (bf16) | 112 KiB (Moderate) |
| License | Llama 3.2 Community License Agreement |

**Key detail:** Reference small-model Llama architecture with tied embeddings.

## 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.

## Benchmark (Artificial Analysis Intelligence Index)

- AA Intelligence Index v4.3.2: total 5.7

## Links

- Architecture diagram: https://sebastianraschka.com/llm-architecture-gallery/images/architectures/llama-3-2-3b.webp
- View in article: https://magazine.sebastianraschka.com/p/a-dream-of-spring-for-open-weight#%C2%A77-nanbeige-41-3b-a-strong-llama-3-successor
- License: https://huggingface.co/meta-llama/Llama-3.2-3B/blob/main/LICENSE.txt
- Source card (source of truth): https://sebastianraschka.com/llm-architecture-gallery/#card-llama-3-2-3b
- Web page: https://llm-atlas-7or.pages.dev/models/llama-3-2-3b/
- JSON: https://llm-atlas-7or.pages.dev/api/models/llama-3-2-3b.json

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