FitMyLLM
MosaicML/Dense

MMPT-7B

MosaicML MPT-7B — Apache-2.0 licensed model. Optimized for fast training and inference.

chat
7B
Parameters
64K
Context length
7
Benchmarks
6
Quantizations
200K
HF downloads
Architecture
Dense
Released
2023-05-05
Layers
32
KV Heads
32
Head Dim
128
Family
mpt

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
10.8 GB
4.8 + 6.0 KV
good
Q5_K_S5.57
11.4 GB
5.4 + 6.0 KV
good
Q5_K_M5.7
11.5 GB
5.5 + 6.0 KV
good
Q6_K6.56
12.2 GB
6.2 + 6.0 KV
excellent
Q8_08.5
13.9 GB
7.9 + 6.0 KV
lossless
FP1616
20.5 GB
14.5 + 6.0 KV
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
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Community Ratings

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Benchmarks (7)

IFEval21.5
HumanEval18.3
BBH6.6
MUSR2.9
MMLU-PRO2.3
MATH1.6
GPQA1.3

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run mpt:7b-q4_K_M

Tag may need adjustment — check ollama.com/library/mpt for available tags.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA Tesla K20c
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA Tesla K20m
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA Tesla K20s
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA Tesla C2070
6 GB VRAM • 143 GB/s
NVIDIA
NVIDIA Tesla C2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla C2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla M2070
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2070-Q
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2070
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla K20X
6 GB VRAM • 250 GB/s
NVIDIA
NVIDIA Tesla K20Xm
6 GB VRAM • 250 GB/s
NVIDIA

Find the best GPU for MPT-7B

Build Hardware for MPT-7B

MosaicML MPT-7B — Apache-2.0 licensed model. Optimized for fast training and inference.

▸ SPEC SHEET

MPT-7B7B Dense.

▸ SPECIFICATIONS
PARAMETERS
7B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
64K tokens
CAPABILITIES
chat
RELEASE DATE
2023-05-05
PROVIDER
MosaicML
FAMILY
mpt
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.894.8 GB94%
Q5_K_S5.575.4 GB96%
Q5_K_M5.75.5 GB96%
Q6_K6.566.2 GB97%
Q8_08.57.9 GB100%
FP161614.5 GB100%
§ 01BENCHMARK SCORES
HumanEval18.3
MMLU-PRO2.3
MATH1.6
IFEval21.5
BBH6.6
GPQA1.3
MUSR2.9
§ 03COMPATIBLE GPUs
30 @ Q4_K_M