FitMyLLM
Teknium/Dense

TOpenHermes 2.5 7B

OpenHermes 2.5 — community model trained on diverse instruction data.

chat
7.25B
Parameters
32K
Context length
7
Benchmarks
6
Quantizations
800K
HF downloads
Architecture
Dense
Released
2023-11-01
Layers
32
KV Heads
8
Head Dim
128
Family
other

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
6.4 GB
4.9 + 1.5 KV
good
Q5_K_S5.57
7.0 GB
5.5 + 1.5 KV
good
Q5_K_M5.7
7.2 GB
5.7 + 1.5 KV
good
Q6_K6.56
7.9 GB
6.4 + 1.5 KV
excellent
Q8_08.5
9.7 GB
8.2 + 1.5 KV
lossless
FP1616
16.5 GB
15.0 + 1.5 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 →
▸ READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN OPENHERMES 2.5 7B NOW

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

Community Ratings

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Benchmarks (7)

IFEval68.6
HumanEval48.0
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 openhermes:7b-mistral-v2-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 OpenHermes 2.5 7B

Build Hardware for OpenHermes 2.5 7B

OpenHermes 2.5 — community model trained on diverse instruction data.

▸ SPEC SHEET

OpenHermes 2.5 7B — 7.25B Dense.

▸ SPECIFICATIONS
PARAMETERS
7.25B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
32K tokens
CAPABILITIES
chat
RELEASE DATE
2023-11-01
PROVIDER
Teknium
FAMILY
other
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.894.9 GB94%
Q5_K_S5.575.5 GB96%
Q5_K_M5.75.7 GB96%
Q6_K6.566.4 GB97%
Q8_08.58.2 GB100%
FP161615.0 GB100%
§ 01BENCHMARK SCORES
HumanEval48.0
MMLU-PRO28.8
MATH15.2
IFEval68.6
BBH31.9
GPQA5.3
MUSR6.6
§ 02RUN COMMAND

Run OpenHermes 2.5 7B locally with Ollama — needs 4.9 GB VRAM at Q4_K_M:

$ollama run openhermes
§ 03COMPATIBLE GPUs
30 @ Q4_K_M