LocalClaw/LLM/Kimi K2 Instruct (1T MoE)
Public model card reference

Kimi K2 Instruct (1T MoE)

Catalogue summary: Moonshot AI trillion-parameter MoE flagship. 32B active params per token with 384 experts. Matches or beats GPT-4 Turbo on MMLU, GSM8K, HumanEval. Agentic & tool-use specialist. Server-grade only. Modified MIT.

Repository editorial metadata; verify comparative claims in the linked upstream material.

Public model cardNo public GGUF verified1T (32B active, 384 experts)2025-07
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Source status
Public model card
Public GGUF
Not verified
Parameters
1T (32B active, 384 experts)
Access
Public card

Verified source status

LocalClaw verified a public model card for Kimi K2 Instruct (1T MoE) on 2026-09-07, 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 2026-09-07): moonshotai/Kimi-K2-Instruct
chatcodereasoningqualitygeneral

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: kimi
  • Parameters: 1T (32B active, 384 experts)
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 1024 GB
  • Catalogue model size: 600 GB
  • Tags: chat, code, reasoning, quality, general

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.

Catalogue tags

  • chat
  • code
  • reasoning
  • quality
  • general

Capability profile

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

speed
3
quality
10
coding
10
reasoning
10

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.

Kimi K2.5 (1T MoE) 1T (32B active, MoE)Kimi K2 Thinking (1T MoE) 1T (32B active, 384 experts)Kimi K2.7 Code (1T MoE) 1T (32B active)DeepSeek V4 Pro (1.6T MoE) 1.6T (49B active)MiMo-V2.5-Pro (1.02T MoE) 1.02T (42B active)Ling 1T (1T MoE) 1T (50B active)

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