LLMMiniMaxMIT

MiniMax M2.7

MiniMaxAI/MiniMax-M2.7

Parameters

230B

Context

200K

Downloads

861.6K

Likes

1.2K

Architecture

moe_transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
546.9 GB
RAM 820.3 · Disk 707.3
587.3 GB
RAM 880.9 · Disk 733.3
708.8 GB
RAM 1063.2 · Disk 772.3
FP88bit
275.9 GB
RAM 413.9 · Disk 373.2
304.0 GB
RAM 456.0 · Disk 399.2
413.2 GB
RAM 619.8 · Disk 438.2
INT88bit
275.9 GB
RAM 413.9 · Disk 373.2
304.0 GB
RAM 456.0 · Disk 399.2
413.2 GB
RAM 619.8 · Disk 438.2
AWQ4bit
145.5 GB
RAM 218.3 · Disk 212.3
167.7 GB
RAM 251.5 · Disk 238.3
270.9 GB
RAM 406.4 · Disk 277.3
GPTQ4bit
147.2 GB
RAM 220.8 · Disk 214.4
169.4 GB
RAM 254.1 · Disk 240.4
272.8 GB
RAM 409.2 · Disk 279.4
GGUF4bit
150.6 GB
RAM 225.9 · Disk 218.6
173.0 GB
RAM 259.5 · Disk 244.6
276.5 GB
RAM 414.7 · Disk 283.6

GPU Recommendations

Best ValueBEST

4× H200 SXM

564 GB VRAM

$10,220/mo

≈ 103.7 tok/s

Effective production throughput ≈ 72.6 tok/s

score 0.3486

Cheapest

8× RTX 3090

192 GB VRAM

$630/mo

≈ 27 tok/s

Effective production throughput ≈ 18.9 tok/s

score 0.5354

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 138.2 tok/s

Effective production throughput ≈ 96.7 tok/s

score 0.2197

Min Complexity

1× B200

180 GB VRAM

$3,013/mo

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

Effective production throughput ≈ 0 tok/s

score 0.5789

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

View Community →

GPUs that fit (single card)

B200

180 GB VRAM

$3,013

/mo · vast

B200 SXM

180 GB VRAM

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