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MosaicML

MPT 7B

MosaicML · dense · 6.7B parameters · 65,536 context

Quality
36.0

Architecture Details

TypeDENSE
Total Parameters6.7B
Active Parameters6.7B
Layers32
Hidden Dimension4,096
Attention Heads32
KV Heads32
Head Dimension128
Vocab Size50,432

Memory Requirements

BF16 Weights

13.4 GB

FP8 Weights

6.7 GB

INT4 Weights

3.4 GB

KV-Cache per Token262144 bytes
Activation Estimate0.80 GB

Fits on (single-node)

B200 SXM BF16B100 SXM BF16GB200 NVL72 (per GPU) BF16GB300 NVL72 (per GPU) BF16H200 SXM BF16H100 SXM BF16H100 PCIe BF16H100 NVL BF16

GPU Recommendations

A10Goptimal

BF16 · 1 GPU · vllm

100/100

score

Throughput

241.8 tok/s

Cost/Month

$285

Cost/M Tokens

$0.45

Use this config →
A30optimal

BF16 · 1 GPU · vllm

100/100

score

Throughput

376.0 tok/s

Cost/Month

$332

Cost/M Tokens

$0.34

Use this config →
RTX 4090optimal

BF16 · 1 GPU · vllm

100/100

score

Throughput

406.2 tok/s

Cost/Month

$370

Cost/M Tokens

$0.35

Use this config →

API Pricing Comparison

No API pricing data available for this model.

Quality Benchmarks

MMLU
42.0
HumanEval
18.0
GSM8K
28.0
MT-Bench
60.0

Capabilities

Features

Tool Use Vision Code Math Reasoning Multilingual Structured Output

Supported Frameworks

vllmtgiollama

Supported Precisions

BF16 (default)FP8INT4

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