LLMMistralMIT

Mistral Nemo 12B

mistralai/Mistral-Nemo-Instruct-2407

Parameters

12.2B

Context

128K

Downloads

413.5K

Likes

1.7K

Architecture

transformer

View on HuggingFace

GPU Requirements

VRAM / RAM / disk estimates by quantization and usage scenario

QuantizationMinimumRecommendedProduction
FP1616bit
33.7 GB
RAM 50.5 · Disk 74.5
50.8 GB
RAM 76.1 · Disk 100.5
149.0 GB
RAM 223.4 · Disk 139.5
FP88bit
19.3 GB
RAM 32.0 · Disk 56.7
35.7 GB
RAM 53.6 · Disk 82.7
133.3 GB
RAM 199.9 · Disk 121.7
INT88bit
19.3 GB
RAM 32.0 · Disk 56.7
35.7 GB
RAM 53.6 · Disk 82.7
133.3 GB
RAM 199.9 · Disk 121.7
AWQ4bit
12.4 GB
RAM 32.0 · Disk 48.2
28.5 GB
RAM 42.7 · Disk 74.2
125.7 GB
RAM 188.6 · Disk 113.2
GPTQ4bit
12.5 GB
RAM 32.0 · Disk 48.3
28.6 GB
RAM 42.9 · Disk 74.3
125.8 GB
RAM 188.8 · Disk 113.3
GGUF4bit
12.7 GB
RAM 32.0 · Disk 48.5
28.8 GB
RAM 43.2 · Disk 74.5
126.0 GB
RAM 189.0 · Disk 113.5

GPU Recommendations

Best ValueBEST

1× H100 SXM

80 GB VRAM

$1,170/mo

≈ 568.8 tok/s

Effective production throughput ≈ 398.2 tok/s

score 0.5845

Deploy on vast ↗
Cheapest

2× Tesla V100

32 GB VRAM

$19.9/mo

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

Effective production throughput ≈ 0 tok/s

score 0.6097

Deploy on vast ↗
Performance

8× H200 SXM

1128 GB VRAM

$20,440/mo

≈ 2607.8 tok/s

Effective production throughput ≈ 1825.5 tok/s

score 0.2197

Min Complexity

1× RTX A6000

48 GB VRAM

$210/mo

≈ 130.4 tok/s

Effective production throughput ≈ 91.3 tok/s

score 0.6494

Deploy on vast ↗

💬 Community — real deployment experience

0 Articles · 0 Benchmarks

View Community →

GPUs that fit (single card)

RTX A6000

48 GB VRAM

$210

/mo · vast

RTX 5090

32 GB VRAM

$244

/mo · vast

L40S

48 GB VRAM

$341

/mo · vast

RTX PRO 6000 WS

48 GB VRAM

$586

/mo · vast

A100 80GB

80 GB VRAM

$876

/mo · vast

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