LLMKimiMODEL_LICENSE

Kimi-K2-0905

moonshotai/Kimi-K2-0905

1T-parameter MoE agent model by Moonshot AI with 256K context.

Parameters

1000B

Context

256K

Downloads

280K

Likes

2.4K

Architecture

llama

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
2361.2 GB
RAM 3541.8 · Disk 2944.7
2484.1 GB
RAM 3726.1 · Disk 2970.7
2688.1 GB
RAM 4032.1 · Disk 3009.7
FP88bit
1183.1 GB
RAM 1774.6 · Disk 1491.9
1252.4 GB
RAM 1878.6 · Disk 1517.9
1402.8 GB
RAM 2104.2 · Disk 1556.9
INT88bit
1183.1 GB
RAM 1774.6 · Disk 1491.9
1252.4 GB
RAM 1878.6 · Disk 1517.9
1402.8 GB
RAM 2104.2 · Disk 1556.9
AWQ4bit
616.1 GB
RAM 924.2 · Disk 792.7
659.6 GB
RAM 989.5 · Disk 818.7
784.3 GB
RAM 1176.5 · Disk 857.7
GPTQ4bit
623.5 GB
RAM 935.2 · Disk 801.8
667.3 GB
RAM 1001.0 · Disk 827.8
792.3 GB
RAM 1188.5 · Disk 866.8
GGUF4bit
638.2 GB
RAM 957.3 · Disk 819.9
682.7 GB
RAM 1024.1 · Disk 845.9
808.4 GB
RAM 1212.6 · Disk 884.9

GPU Recommendations

Best ValueBEST

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 31.8 tok/s

Effective production throughput ≈ 22.3 tok/s

score 0.3757

Cheapest

4× B200

720 GB VRAM

$12,051/mo

≈ 0 tok/s (N/A — benchmark unavailable)

Effective production throughput ≈ 0 tok/s

score 0.3057

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 31.8 tok/s

Effective production throughput ≈ 22.3 tok/s

score 0.3757

Min Complexity

4× B200

720 GB VRAM

$12,051/mo

≈ 0 tok/s (N/A — benchmark unavailable)

Effective production throughput ≈ 0 tok/s

score 0.3057

Deploy on vast ↗

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