Public model card reference

Kimi K2.7 Code (1T MoE)

Catalogue summary: Moonshot AI coding-focused agentic Kimi built on K2.6. 1T MoE with 32B active parameters, 256K context, MoonViT vision encoder and stronger long-horizon coding while reducing thinking-token usage by roughly 30% vs K2.6. Modified MIT. Server-grade only.

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

Public model cardNo public GGUF verified1T (32B active)2026-06
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Source status
Public model card
Public GGUF
Not verified
Parameters
1T (32B active)
Access
Public card

Verified source status

LocalClaw verified a public model card for Kimi K2.7 Code (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.

codereasoningagenticmultimodalquality

Source availability

01
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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)
  • Recommended quantization: BF16 / compressed-tensors
  • Catalogue minimum RAM: 1024 GB
  • Catalogue model size: 595 GB
  • Tags: code, reasoning, agentic, multimodal, 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.

Catalogue tags

  • code
  • reasoning
  • agentic
  • multimodal
  • quality

Capability profile

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

speed
2
quality
10
coding
10
reasoning
10

Technical notes

Developer
Moonshot AI
License
Modified MIT
Context window
262,144 tokens
Architecture
Mixture of Experts — 1T total, 32B active, 384 experts, MLA attention, MoonViT vision encoder

Related catalogue entries

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

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