FitMyLLM
Microsoft/Dense

MicrosoftOrca 2 7B

Microsoft's Orca 2. Trained to reason step-by-step on complex tasks.

chatreasoning
7B
Parameters
4K
Context length
6
Benchmarks
6
Quantizations
0
Architecture
Dense
Released
2023-11-18
Layers
32
KV Heads
32
Head Dim
128
Family
other

Quantization Options

QuantBitsVRAM @ 4KQuality
Q4_K_M4.89
4.8 GB
good
Q5_K_S5.57
5.4 GB
good
Q5_K_M5.7
5.5 GB
good
Q6_K6.56
6.2 GB
excellent
Q8_08.5
7.9 GB
lossless
FP1616
14.5 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

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Community Ratings

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Benchmarks (6)

IFEval68.6
BBH31.9
MMLU-PRO28.8
MATH15.2
MUSR6.6
GPQA5.3

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run orca2:7b-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 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 Orca 2 7B

Build Hardware for Orca 2 7B

Microsoft's Orca 2. Trained to reason step-by-step on complex tasks.

▸ SPEC SHEET

Orca 2 7B7B Dense.

▸ SPECIFICATIONS
PARAMETERS
7B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
4K tokens
CAPABILITIES
chat, reasoning
RELEASE DATE
2023-11-18
PROVIDER
Microsoft
FAMILY
other
▸ 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
MMLU-PRO28.8
MATH15.2
IFEval68.6
BBH31.9
GPQA5.3
MUSR6.6
§ 02RUN COMMAND

Run Orca 2 7B locally with Ollama — needs 4.8 GB VRAM at Q4_K_M:

$ollama run orca2:7b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M