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Kimi · Code · kimi-k2-7

Kimi-K2.7-Code: Specs, GPU Requirements and License

Kimi-K2.7-Code is a current Code release in the Kimi family, certified from its immutable official source revision.

Reference only Compare this model
Technical deployment reference illustration for Kimi-K2.7-Code
Reference deployment flow; exact architecture facts are listed separately.
Total parametersThe manufacturer has not published this information.
Active parametersDense model
Context windowN/A / Not directly comparable
Release statusCurrent · Current
Architecture
ModalitiesMultimodal
Licenseother
Deployment stateReference only
Commercial stateUnknown / Not Recommendable
Release date

Architecture, strengths and use cases

Kimi-K2.7-Code is an official self-hostable Moonshot AI release in the Kimi Code track. It uses The manufacturer has not published this information., carries The manufacturer has not published this information., supports a verified context window of 0 tokens, and exposes only source-certified checkpoints and runtime combinations. Its release, license and deployment facts are tied to the official repository revision rather than inferred from the family name.

Kimi-K2.7-Code uses The manufacturer has not published this information. with The manufacturer has not published this information.. The stored architecture profile records layers, hidden width , attention heads and a 0 token context ceiling where the official configuration publishes those fields.

Verified The manufacturer has not published this information. architecture
Official checkpoint and pipeline evidence
Official Unknown checkpoint coverage
Private LLM inference
Agentic workflows
Long-context document processing

Certified checkpoints and quantizations

Only exact, source-certified variants attached to this release are shown.

Kimi-K2.7-Code

moonshotai/Kimi-K2.7-Code

Official · Unknown · unknown

Precision / quantizationFormatBitsPublisher trustDeployment state

Recommended hardware

Use only the listed certified runtime configuration with the exact checkpoint precision. The recommendation engine checks weight memory, KV cache, runtime overhead, safety headroom, GPU architecture and topology before ranking rentable and reference hardware.

Reference only

Commercial rights are not verified, so this release is not commercially recommendable.

License and self-hosting considerations

The full 0B resident weight set must fit across the selected GPUs. Context and concurrency add KV-cache memory; MoE active parameters do not replace resident-weight memory.

Kimi-K2.7-Code is published under other. The release-scoped official license link and verification date are retained with the catalogue record.

Unknown / Not Recommendable. Commercial rights are not verified, so this release is not commercially recommendable.

Alternatives and sibling variants

Kimi-K2.7-Code-DFlash, Kimi-K2.7-Code-NVFP4, Kimi K2.7 Code

Release timeline

moonshot/kimi/kimi-k27-code @ db1fe0f520e58e16be28289977d30a0032f8876f1af1f12d76521a04b9b3994d

Official source

moonshotai/Kimi-K2.7-Code @ 2026-06-15T12:19:58Z

Official source

Frequently asked questions

How much VRAM does Kimi-K2.7-Code require?

The exact estimate depends on checkpoint precision, context and concurrency; the page recommendation uses the certified memory engine and compatible runtime configurations.

Which runtimes support Kimi-K2.7-Code?

No runtime is presented as supported until upstream evidence is verified.

Can Kimi-K2.7-Code be used commercially?

The stored commercial classification is Unknown / Not Recommendable. Consult the official other terms for the final obligations.

Official references

Last verified: 2026-09-03