FitMyLLM
Nous Research/Dense

NNous Hermes 2 34B

Nous Hermes 2 34B — powerful community model for creative and technical tasks.

chat
34B
Parameters
8K
Context length
2
Benchmarks
14
Quantizations
100K
HF downloads
Architecture
Dense
Released
2024-02-01
Layers
60
KV Heads
8
Head Dim
128
Family
other

Quantization Options

Context length:
QuantBitsVRAM @ 8KQuality
IQ3_XXS3.25
15.2 GB
14.3 + 0.9 KV
low
IQ3_XS3.5
16.3 GB
15.4 + 0.9 KV
low
Q3_K_S3.64
16.9 GB
16.0 + 0.9 KV
low
IQ3_M3.76
17.4 GB
16.5 + 0.9 KV
low
Q3_K_M4
18.4 GB
17.5 + 0.9 KV
low
Q3_K_L4.3
19.7 GB
18.8 + 0.9 KV
moderate
IQ4_XS4.46
20.4 GB
19.4 + 0.9 KV
moderate
Q4_K_S4.67
21.3 GB
20.3 + 0.9 KV
moderate
Q4_K_M4.89
22.2 GB
21.3 + 0.9 KV
good
Q5_K_S5.57
25.1 GB
24.2 + 0.9 KV
good
Q5_K_M5.7
25.7 GB
24.7 + 0.9 KV
good
Q6_K6.56
29.3 GB
28.4 + 0.9 KV
excellent
Q8_08.5
37.6 GB
36.6 + 0.9 KV
lossless
FP1616
69.4 GB
68.5 + 0.9 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)

HumanEval54.0
MMLU-PRO40.0

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run nous-hermes2:34b-yi-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.

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
NVIDIA L40G
24 GB VRAM • 864 GB/s
NVIDIA
$5000

Find the best GPU for Nous Hermes 2 34B

Build Hardware for Nous Hermes 2 34B

Nous Hermes 2 34B — powerful community model for creative and technical tasks.

▸ SPEC SHEET

Nous Hermes 2 34B34B Dense.

▸ SPECIFICATIONS
PARAMETERS
34B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
8K tokens
CAPABILITIES
chat
RELEASE DATE
2024-02-01
PROVIDER
Nous Research
FAMILY
other
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ3_XXS3.2514.3 GB82%
IQ3_XS3.515.4 GB84%
Q3_K_S3.6416.0 GB85%
IQ3_M3.7616.5 GB86%
Q3_K_M417.5 GB88%
Q3_K_L4.318.8 GB90%
IQ4_XS4.4619.4 GB92%
Q4_K_S4.6720.3 GB93%
Q4_K_M4.8921.3 GB94%
Q5_K_S5.5724.2 GB96%
Q5_K_M5.724.7 GB96%
Q6_K6.5628.4 GB97%
Q8_08.536.6 GB100%
FP161668.5 GB100%
§ 01BENCHMARK SCORES
HumanEval54.0
MMLU-PRO40.0
§ 02RUN COMMAND

Run Nous Hermes 2 34B locally with Ollama — needs 21.3 GB VRAM at Q4_K_M:

$ollama run nous-hermes2:34b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M