FitMyLLM
Microsoft/Dense

MicrosoftOrca 2 13B

Orca 2 13B — stronger reasoning variant, approaches larger model quality.

chatreasoning
13B
Parameters
4K
Context length
6
Benchmarks
10
Quantizations
0
Architecture
Dense
Released
2023-11-18
Layers
40
KV Heads
40
Head Dim
128
Family
other

Quantization Options

QuantBitsVRAM @ 4KQuality
Q3_K_M4
7.0 GB
low
Q3_K_L4.3
7.5 GB
moderate
IQ4_XS4.46
7.7 GB
moderate
Q4_K_S4.67
8.1 GB
moderate
Q4_K_M4.89
8.4 GB
good
Q5_K_S5.57
9.5 GB
good
Q5_K_M5.7
9.8 GB
good
Q6_K6.56
11.1 GB
excellent
Q8_08.5
14.3 GB
lossless
FP1616
26.5 GB
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 →
READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN ORCA 2 13B NOW

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

Loading ratings...

Benchmarks (6)

IFEval65.0
BBH28.5
MMLU-PRO28.3
MATH12.2
MUSR11.7
GPQA6.5

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run orca2:13b-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ 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 CMP 170HX 10 GB
10 GB VRAM • 1560 GB/s
NVIDIA
NVIDIA CMP 50HX
10 GB VRAM • 560 GB/s
NVIDIA
NVIDIA CMP 90HX
10 GB VRAM • 760 GB/s
NVIDIA
NVIDIA Tesla K40c
12 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla K40d
12 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla K40m
12 GB VRAM • 288 GB/s
NVIDIA

Find the best GPU for Orca 2 13B

Build Hardware for Orca 2 13B

Orca 2 13B — stronger reasoning variant, approaches larger model quality.

▸ SPEC SHEET

Orca 2 13B13B Dense.

▸ SPECIFICATIONS
PARAMETERS
13B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
4K tokens
CAPABILITIES
chat, reasoning
RELEASE DATE
2023-11-18
PROVIDER
Microsoft
FAMILY
other
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q3_K_M47.0 GB88%
Q3_K_L4.37.5 GB90%
IQ4_XS4.467.7 GB92%
Q4_K_S4.678.1 GB93%
Q4_K_M4.898.4 GB94%
Q5_K_S5.579.5 GB96%
Q5_K_M5.79.8 GB96%
Q6_K6.5611.1 GB97%
Q8_08.514.3 GB100%
FP161626.5 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO28.3
MATH12.2
IFEval65.0
BBH28.5
GPQA6.5
MUSR11.7
§ 02RUN COMMAND

Run Orca 2 13B locally with Ollama — needs 8.4 GB VRAM at Q4_K_M:

$ollama run orca2:13b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M