FitMyLLM
Nous Research/Dense

NNous Capybara 34B

Nous Capybara 34B — long-context model designed for multi-turn conversations.

chat
34.4B
Parameters
8K
Context length
1
Benchmarks
14
Quantizations
30K
HF downloads
Architecture
Dense
Released
2023-12-01
Layers
60
KV Heads
8
Head Dim
128
Family
other

Quantization Options

Context length:
QuantBitsVRAM @ 8KQuality
IQ3_XXS3.25
15.4 GB
14.5 + 0.9 KV
low
IQ3_XS3.5
16.5 GB
15.5 + 0.9 KV
low
Q3_K_S3.64
17.1 GB
16.1 + 0.9 KV
low
IQ3_M3.76
17.6 GB
16.7 + 0.9 KV
low
Q3_K_M4
18.6 GB
17.7 + 0.9 KV
low
Q3_K_L4.3
19.9 GB
19.0 + 0.9 KV
moderate
IQ4_XS4.46
20.6 GB
19.7 + 0.9 KV
moderate
Q4_K_S4.67
21.5 GB
20.6 + 0.9 KV
moderate
Q4_K_M4.89
22.5 GB
21.5 + 0.9 KV
good
Q5_K_S5.57
25.4 GB
24.4 + 0.9 KV
good
Q5_K_M5.7
25.9 GB
25.0 + 0.9 KV
good
Q6_K6.56
29.6 GB
28.7 + 0.9 KV
excellent
Q8_08.5
38.0 GB
37.0 + 0.9 KV
lossless
FP1616
70.2 GB
69.3 + 0.9 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 NOUS CAPYBARA 34B NOW

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

Community Ratings

Loading ratings...

Benchmarks (1)

HumanEval42.0

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run other:34b-q4_K_M

Tag may need adjustment — check ollama.com/library/other 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.

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 Capybara 34B

Build Hardware for Nous Capybara 34B

Nous Capybara 34B — long-context model designed for multi-turn conversations.

▸ SPEC SHEET

Nous Capybara 34B34.4B Dense.

▸ SPECIFICATIONS
PARAMETERS
34.4B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
8K tokens
CAPABILITIES
chat
RELEASE DATE
2023-12-01
PROVIDER
Nous Research
FAMILY
other
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ3_XXS3.2514.5 GB82%
IQ3_XS3.515.5 GB84%
Q3_K_S3.6416.1 GB85%
IQ3_M3.7616.7 GB86%
Q3_K_M417.7 GB88%
Q3_K_L4.319.0 GB90%
IQ4_XS4.4619.7 GB92%
Q4_K_S4.6720.6 GB93%
Q4_K_M4.8921.5 GB94%
Q5_K_S5.5724.4 GB96%
Q5_K_M5.725.0 GB96%
Q6_K6.5628.7 GB97%
Q8_08.537.0 GB100%
FP161669.3 GB100%
§ 01BENCHMARK SCORES
HumanEval42.0
§ 03COMPATIBLE GPUs
30 @ Q4_K_M