LocalClaw/LLM/Ling 1T (1T MoE)
Public model card reference

Ling 1T (1T MoE)

Public model card. Check the source status below before planning a local setup.

Public model cardNo public GGUF verified1T (50B active)2025-10
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Source status
Public model card
Public GGUF
Not verified
Parameters
1T (50B active)
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Verified source status

Catalogue summary: Ant Group / InclusionAI trillion-param MoE. 50B active per token, 128K context. Strong Chinese + English, open weights with commercial licence. Tops many bilingual benchmarks. Datacenter-only.

LocalClaw verified a public model card for Ling 1T (1T MoE) on 2026-11-06, but no public GGUF file in that repository. The catalogue RAM and quantization fields are estimates, not a verified install path.

Only the public model card was verified; no public GGUF file was verified in that repository. Open the model card to confirm current artefacts and supported runtimes. LocalClaw does not claim a one-click LM Studio install.

Public model card (no GGUF file verified 2026-11-06): inclusionAI/Ling-1T
chatcodereasoningquality

Source availability

01
Open the model cardUse the verified upstream card as the source of truth for this record.
02
Inspect current filesNo public GGUF file was verified in the repository during the catalogue audit.
03
Confirm a supported runtimeChoose a local runtime only after verifying the exact artefact, licence and hardware requirements upstream.

Catalogue record

  • Family: ling
  • Parameters: 1T (50B active)
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 1024 GB
  • Catalogue model size: 620 GB
  • Tags: chat, code, reasoning, quality

Practical limits

  • Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
  • Speed and memory use vary by quantization, backend, context length and system headroom.
  • Verify architecture, licence and usage restrictions in the linked upstream material before deployment.

Reading the scores

LocalClaw /10 is an editorial catalogue rating. Community /5 comes from member reviews. Your machine fit is a separate memory and runtime assessment.

Capability profile

Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.

speed
2
quality
10
coding
9
reasoning
9

Technical notes

Developer
See upstream repository
License
See upstream repository
Context window
See upstream repository
Architecture
See upstream repository

Related catalogue entries

Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.

DeepSeek V4 Pro (1.6T MoE) 1.6T (49B active)Kimi K2 Instruct (1T MoE) 1T (32B active, 384 experts)Kimi K2.5 (1T MoE) 1T (32B active, MoE)MiMo-V2.5-Pro (1.02T MoE) 1.02T (42B active)Kimi K2 Thinking (1T MoE) 1T (32B active, 384 experts)Kimi K2.7 Code (1T MoE) 1T (32B active)Ling Flash Base 2.0 106B (6.1B active, MoE)Ling-2.6-flash (104B MoE) 104B (7.4B active)

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