Skip to content
English

Switch theme

// Kimi · Vision-language

Kimi-VL-A3B-Instruct: VRAM & local deployment

16.4B total · 3B active (MoE) parameters. About 11.7 GB at 4-bit and 36.8 GB at BF16 with one 8K-token request.

released 2025-04-09licence: Commercial OKmemory figures are estimates

01Specs

PublisherMoonshot AI · moonshotai
Family / seriesKimi · Kimi-VL
TypeVision-language (image-text-to-text)
Parameters16.4B total · 3B active (MoE) Source: counted from official safetensors weights
Context length128K tokens (131,072)max_position_embeddings in config.json
Architecture27 layers · MLA · MoE
Released weightsBF16 · 32.8 GBdownload
LicenceMIT · Commercial OKPermissive licence (Apache-2.0 / MIT / CC-BY / OpenMDW): commercial use allowed.
Released2025-04-09 (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)32.8 GB 36.9 GB37.6 GB40.7 GB 2 × RTX 5090 (64GB)Mac 64GB
FP8 / INT8 / Q8_017.4 GB 19.9 GB20.7 GB23.8 GB RTX 4090 24GBMac 36GB
4-bit (Q4_K_M / AWQ / GPTQ-Int4)9.9 GB 11.7 GB12.5 GB15.5 GB 16GB GPUMac 24GB

KV cache per request: 8K 0.3 GB · 32K 1.0 GB · 128K 4.1 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-K2-Thinking1T / 32B668 GB2025-11-04
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

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)