# Ling 2.5 (1T)

> Trillion-parameter long-context model that swaps DeltaNet for Lightning Attention.

| Property | Value |
| --- | --- |
| Lab | InclusionAI (China) |
| Released | 2026-02-15 |
| Decoder type | Sparse hybrid |
| Family | Hybrid MoE |
| Scale | 1T total, 63B active (6.3% active) |
| Context window | 256,000 tokens |
| Attention | Lightning Attention plus MLA |
| Layer mix | 10 MLA + 70 Lightning Attention |
| KV cache / token (bf16) | 11.2 KiB (Very low) |
| License | MIT License |

**Key detail:** Uses a 7:1 linear-attention/MLA ratio and a much larger 63B active path.

## Architecture concepts

- [Multi-Head Latent Attention (MLA)](https://llm-atlas-7or.pages.dev/concepts/mla.md): Keys and values are compressed into a small latent vector that is cached instead of full K/V.
- [Hybrid Attention (Hybrid attention)](https://llm-atlas-7or.pages.dev/concepts/hybrid-attention.md): Mixes cheap linear-attention or state-space layers with a few full-attention layers.

## Links

- Architecture diagram: https://sebastianraschka.com/llm-architecture-gallery/images/architectures/ling-2-5-1t.webp
- View in article: https://magazine.sebastianraschka.com/p/a-dream-of-spring-for-open-weight#%C2%A79-ant-groups-ling-25-1t-with-lightning-attention
- config.json: https://huggingface.co/inclusionAI/Ling-2.5-1T/blob/main/config.json
- Source card (source of truth): https://sebastianraschka.com/llm-architecture-gallery/#card-ling-2-5-1t
- Web page: https://llm-atlas-7or.pages.dev/models/ling-2-5-1t/
- JSON: https://llm-atlas-7or.pages.dev/api/models/ling-2-5-1t.json

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