FitMyLLM
MosaicML/Dense

MMPT-30B

MPT-30B — MosaicML's larger model. Strong general performance with permissive license.

chat
30B
Parameters
8K
Context length
2
Benchmarks
14
Quantizations
80K
HF downloads
Architecture
Dense
Released
2023-06-22
Layers
48
KV Heads
48
Head Dim
128
Family
mpt

Quantization Options

Context length:
QuantBitsVRAM @ 8KQuality
IQ3_XXS3.25
17.2 GB
12.7 + 4.5 KV
low
IQ3_XS3.5
18.1 GB
13.6 + 4.5 KV
low
Q3_K_S3.64
18.6 GB
14.1 + 4.5 KV
low
IQ3_M3.76
19.1 GB
14.6 + 4.5 KV
low
Q3_K_M4
20.0 GB
15.5 + 4.5 KV
low
Q3_K_L4.3
21.1 GB
16.6 + 4.5 KV
moderate
IQ4_XS4.46
21.7 GB
17.2 + 4.5 KV
moderate
Q4_K_S4.67
22.5 GB
18.0 + 4.5 KV
moderate
Q4_K_M4.89
23.3 GB
18.8 + 4.5 KV
good
Q5_K_S5.57
25.9 GB
21.4 + 4.5 KV
good
Q5_K_M5.7
26.4 GB
21.9 + 4.5 KV
good
Q6_K6.56
29.6 GB
25.1 + 4.5 KV
excellent
Q8_08.5
36.9 GB
32.4 + 4.5 KV
lossless
FP1616
65.0 GB
60.5 + 4.5 KV
lossless

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

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Community Ratings

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Benchmarks (2)

Arena Elo1061
HumanEval26.8

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run mpt:30b-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 RTX A4500
20 GB VRAM • 640 GB/s
NVIDIA
$2000
Apple M4 Pro (24GB)
24 GB VRAM • 273 GB/s
APPLE
$1399
NVIDIA L4 24GB
24 GB VRAM • 300 GB/s
NVIDIA
$2500
Apple M2 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M3 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M4 (24GB)
24 GB VRAM • 120 GB/s
APPLE
$699
NVIDIA Tesla M40 24 GB
24 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla P10
24 GB VRAM • 694 GB/s
NVIDIA
NVIDIA Tesla P40
24 GB VRAM • 347 GB/s
NVIDIA
NVIDIA RTX A5000
24 GB VRAM • 768 GB/s
NVIDIA
$2500
NVIDIA L40 CNX
24 GB VRAM • 864 GB/s
NVIDIA
$5000

Find the best GPU for MPT-30B

Build Hardware for MPT-30B

MPT-30B — MosaicML's larger model. Strong general performance with permissive license.

▸ SPEC SHEET

MPT-30B30B Dense.

▸ SPECIFICATIONS
PARAMETERS
30B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
8K tokens
CAPABILITIES
chat
RELEASE DATE
2023-06-22
PROVIDER
MosaicML
FAMILY
mpt
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ3_XXS3.2512.7 GB82%
IQ3_XS3.513.6 GB84%
Q3_K_S3.6414.1 GB85%
IQ3_M3.7614.6 GB86%
Q3_K_M415.5 GB88%
Q3_K_L4.316.6 GB90%
IQ4_XS4.4617.2 GB92%
Q4_K_S4.6718.0 GB93%
Q4_K_M4.8918.8 GB94%
Q5_K_S5.5721.4 GB96%
Q5_K_M5.721.9 GB96%
Q6_K6.5625.1 GB97%
Q8_08.532.4 GB100%
FP161660.5 GB100%
§ 01BENCHMARK SCORES
HumanEval26.8
Arena Elo1061.0
§ 03COMPATIBLE GPUs
30 @ Q4_K_M