FitMyLLM
Meta/Dense

MetaOPT 30B

Large OPT model. Requires significant VRAM with modest quality by today's standards.

chat
30B
Parameters
2K
Context length
6
Benchmarks
14
Quantizations
60K
HF downloads
Architecture
Dense
Released
2022-05-03
Layers
48
KV Heads
56
Head Dim
128
Family
opt

Quantization Options

QuantBitsVRAM @ 2KQuality
IQ3_XXS3.25
12.7 GB
low
IQ3_XS3.5
13.6 GB
low
Q3_K_S3.64
14.1 GB
low
IQ3_M3.76
14.6 GB
low
Q3_K_M4
15.5 GB
low
Q3_K_L4.3
16.6 GB
moderate
IQ4_XS4.46
17.2 GB
moderate
Q4_K_S4.67
18.0 GB
moderate
Q4_K_M4.89
18.8 GB
good
Q5_K_S5.57
21.4 GB
good
Q5_K_M5.7
21.9 GB
good
Q6_K6.56
25.1 GB
excellent
Q8_08.5
32.4 GB
lossless
FP1616
60.5 GB
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 (6)

IFEval24.5
MUSR4.2
BBH3.5
GPQA2.6
MMLU-PRO1.8
MATH1.1

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run opt:30b-q4_K_M

Tag may need adjustment — check ollama.com/library/opt 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 OPT 30B

Build Hardware for OPT 30B

Large OPT model. Requires significant VRAM with modest quality by today's standards.

▸ SPEC SHEET

OPT 30B30B Dense.

▸ SPECIFICATIONS
PARAMETERS
30B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
2K tokens
CAPABILITIES
chat
RELEASE DATE
2022-05-03
PROVIDER
Meta
FAMILY
opt
▸ 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
MMLU-PRO1.8
MATH1.1
IFEval24.5
BBH3.5
GPQA2.6
MUSR4.2
§ 03COMPATIBLE GPUs
30 @ Q4_K_M