# LFM2.5 (8B-A1B)

> Liquid AI's sparse LFM2.5 model combines LIV convolution, GQA, and MoE routing with 4 of 32 experts active per token.

| Property | Value |
| --- | --- |
| Lab | Liquid AI (United States) |
| Released | 2026-05-28 |
| Decoder type | Sparse hybrid |
| Family | Hybrid MoE |
| Scale | 8.3B total, 1.5B active (18.1% active) |
| Context window | 128,000 tokens |
| Attention | LIV convolution blocks plus GQA and MoE |
| Layer mix | 18 LIV conv + 6 GQA + MoE FFNs |
| KV cache / token (bf16) | 12 KiB (Very low) |
| License | LFM Open License v1.0 |

**Key detail:** Uses 24 layers, 32 MoE experts with 4 active per token, and leaves the first two layers dense before sparse routing begins.

## 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.
- [Mixture of Experts (MoE)](https://llm-atlas-7or.pages.dev/concepts/moe.md): Many feed-forward experts, but a router sends each token to only a few of them.

## Benchmark (Artificial Analysis Intelligence Index)

- AA Intelligence Index v4.3.2: total 7.2 (Scientific 3.4)

## Links

- Architecture diagram: https://sebastianraschka.com/llm-architecture-gallery/images/architectures/lfm2-5-8b-a1b.webp
- config.json: https://huggingface.co/LiquidAI/LFM2.5-8B-A1B/blob/main/config.json
- License: https://huggingface.co/LiquidAI/LFM2.5-8B-A1B/blob/main/LICENSE
- Tech report: https://www.liquid.ai/blog/lfm2-5-8b-a1b
- Source card (source of truth): https://sebastianraschka.com/llm-architecture-gallery/#card-lfm2-5-8b-a1b
- Web page: https://llm-atlas-7or.pages.dev/models/lfm2-5-8b-a1b/
- JSON: https://llm-atlas-7or.pages.dev/api/models/lfm2-5-8b-a1b.json

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