Skip to content
English

Switch theme

// Kimi · Text LLM

Kimi-K2-Thinking: VRAM & local deployment

1T total · 32B active (MoE) parameters. About 668 GB at 4-bit and 2.20 TB at BF16 with one 8K-token request.

released 2025-11-04licence: Commercial with conditionsmemory figures are estimates

01Specs

PublisherMoonshot AI · moonshotai
Family / seriesKimi · Kimi-K2-Thinking
TypeText LLM (text-generation)
Parameters1T total · 32B active (MoE) Source: official model card“Total Parameters 1T · Activated Parameters 32B”
Context length256K tokens (262,144)max_position_embeddings in config.json
Architecture61 layers · MLA · MoE
Released weightspacked quantised tensors (I32, e.g. MXFP4 / INT4) · 594 GBdownload
Licencemodified-mit · Commercial with conditionsCommercial use allowed under the publisher’s own licence terms (user caps, acceptable-use policy, attribution or region limits). Read it before shipping.
Released2025-11-04 (Hugging Face repo created)

02How much VRAM it needs (estimate)

Total = weights + 10% + 0.5GB overhead + KV cache for one request (FP16 KV). More concurrent users multiply the KV column.

PrecisionWeightsTotal @ 8KTotal @ 32KTotal @ 128KSmallest GPUMac
BF16 / FP16 (original)2.00 TB 2.20 TB2.20 TB2.21 TB 2 × 8 × B300 nodes (4,608GB)—
FP8 / INT8 / Q8_01.06 TB 1.17 TB1.17 TB1.18 TB 8 × B200 (1,440GB)—
4-bit (Q4_K_M / AWQ / GPTQ-Int4)606 GB 668 GB670 GB677 GB 8 × H200 (1,128GB)—

KV cache per request: 8K 0.6 GB · 32K 2.3 GB · 128K 9.2 GB

Bits per weight: BF16 16, FP8 8.5, 4-bit 4.85. “Fits” = total ≤ 90% of memory; Mac GPU can use ~2/3 of unified memory (≤36GB) or ~3/4 (larger). For MoE, all experts must be in memory, so size by total parameters. Method →

03How to run it

Only runtimes the publisher or the runtime’s official library names for this model.

Which inference engine to choose →

04Official repositories & quantised builds

1 official repo(s) from moonshotai.

05Other Kimi models

All 14 →
ModelParams4-bit totalReleased
Kimi-K32.8T / 104B1.87 TB2026-06-13
Kimi-K2.7-Code1T / 32B668 GB2026-06-11
Kimi-K2.61T / 32B668 GB2026-04-14
Kimi-K2.51T / 32B668 GB2026-01-01
Kimi-Linear-48B-A3B-Instruct49.1B / 3B33.3 GB2025-10-30
Kimi-K2-Instruct-09051T / 32B668 GB2025-09-03
Kimi-K2-Instruct1T / 32B668 GB2025-07-11
Kimi-VL-A3B-Thinking-250616.4B / 3B11.7 GB2025-06-21

06Sources

Data checked 2026-01-30. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

Data updated: Self-host open models(UTC+8)