LLMKimiMIT

Kimi K2.5

moonshotai/Kimi-K2.5

Parameters

1040B

Context

256K

Downloads

856K

Likes

2.9K

Architecture

moe_transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
2455.5 GB
RAM 3683.2 · Disk 3061.0
2582.6 GB
RAM 3873.9 · Disk 3087.0
2790.9 GB
RAM 4186.3 · Disk 3126.0
FP88bit
1230.2 GB
RAM 1845.3 · Disk 1550.0
1301.6 GB
RAM 1952.5 · Disk 1576.0
1454.2 GB
RAM 2181.4 · Disk 1615.0
INT88bit
1230.2 GB
RAM 1845.3 · Disk 1550.0
1301.6 GB
RAM 1952.5 · Disk 1576.0
1454.2 GB
RAM 2181.4 · Disk 1615.0
AWQ4bit
640.6 GB
RAM 960.8 · Disk 822.8
685.2 GB
RAM 1027.8 · Disk 848.8
811.0 GB
RAM 1216.5 · Disk 887.8
GPTQ4bit
648.2 GB
RAM 972.3 · Disk 832.3
693.2 GB
RAM 1039.8 · Disk 858.3
819.3 GB
RAM 1229.0 · Disk 897.3
GGUF4bit
663.5 GB
RAM 995.3 · Disk 851.2
709.2 GB
RAM 1063.8 · Disk 877.2
836.0 GB
RAM 1254.1 · Disk 916.2

GPU Recommendations

Best ValueBEST

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 30.6 tok/s

Effective production throughput ≈ 21.4 tok/s

score 0.3817

Cheapest

4× B200

720 GB VRAM

$12,051/mo

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

Effective production throughput ≈ 0 tok/s

score 0.2967

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 30.6 tok/s

Effective production throughput ≈ 21.4 tok/s

score 0.3817

Min Complexity

4× B200

720 GB VRAM

$12,051/mo

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

Effective production throughput ≈ 0 tok/s

score 0.2967

Deploy on vast ↗

💬 Community — real deployment experience

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