FitMyLLM
Nanbeige/Dense

NNanbeige4.3 33B

Nanbeige4.3 33B is a dense 33B from Nanbeige with a 512K context, built as the teacher model for a coming Nanbeige4.3 3B.

chatcodingreasoningmultilingualmathagentictool_use
33.12B
Parameters
512K
Context length
2
Benchmarks
14
Quantizations
18K
HF downloads
Architecture
Dense
Released
2026-10-24
Layers
52
KV Heads
8
Head Dim
128
Family
other

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
IQ3_XXS3.25
16.4 GB
13.9 + 2.4 KV
low
IQ3_XS3.5
17.4 GB
15.0 + 2.4 KV
low
Q3_K_S3.64
18.0 GB
15.6 + 2.4 KV
low
IQ3_M3.76
18.5 GB
16.1 + 2.4 KV
low
Q3_K_M4
19.5 GB
17.0 + 2.4 KV
low
Q3_K_L4.3
20.7 GB
18.3 + 2.4 KV
moderate
IQ4_XS4.46
21.4 GB
19.0 + 2.4 KV
moderate
Q4_K_S4.67
22.3 GB
19.8 + 2.4 KV
moderate
Q4_K_M4.89
23.2 GB
20.7 + 2.4 KV
good
Q5_K_S5.57
26.0 GB
23.5 + 2.4 KV
good
Q5_K_M5.7
26.5 GB
24.1 + 2.4 KV
good
Q6_K6.56
30.1 GB
27.6 + 2.4 KV
excellent
Q8_08.5
38.1 GB
35.7 + 2.4 KV
lossless
FP1616
69.2 GB
66.7 + 2.4 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 NANBEIGE4.3 33B NOW

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

Community Ratings

Loading ratings...

Benchmarks (2)

AIME95.2
GPQA Diamond89.5

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run other:33b-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 Nanbeige4.3 33B

Build Hardware for Nanbeige4.3 33B
▸ SPEC SHEET

Nanbeige4.3 33B — 33.12B Dense.

▸ SPECIFICATIONS
PARAMETERS
33.12B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
512K tokens
CAPABILITIES
chat, coding, reasoning, multilingual, math, agentic, tool_use
RELEASE DATE
2026-10-24
PROVIDER
Nanbeige
FAMILY
other
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ3_XXS3.2513.9 GB82%
IQ3_XS3.515.0 GB84%
Q3_K_S3.6415.6 GB85%
IQ3_M3.7616.1 GB86%
Q3_K_M417.0 GB88%
Q3_K_L4.318.3 GB90%
IQ4_XS4.4619.0 GB92%
Q4_K_S4.6719.8 GB93%
Q4_K_M4.8920.7 GB94%
Q5_K_S5.5723.5 GB96%
Q5_K_M5.724.1 GB96%
Q6_K6.5627.6 GB97%
Q8_08.535.7 GB100%
FP161666.7 GB100%
§ 01BENCHMARK SCORES
GPQA Diamond89.5
AIME95.2
§ 03COMPATIBLE GPUs
30 @ Q4_K_M