FitMyLLM
Rhymes AI/Mixture of Experts

RAria 25B A3.9B

- SoTA Multimodal Native Performance: Aria achieves strong performance on a wide range of multimodal, language, and coding tasks. It is superior in video and document understanding.

chatvisionmultilingual
25.3B
Parameters (3.9B active)
64K
Context length
4
Benchmarks
10
Quantizations
0
Architecture
MoE
Released
2024-10-08
Layers
28
KV Heads
20
Head Dim
128
Family
other

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q3_K_M4
16.4 GB
13.1 + 3.3 KV
low
Q3_K_L4.3
17.4 GB
14.1 + 3.3 KV
moderate
IQ4_XS4.46
17.9 GB
14.6 + 3.3 KV
moderate
Q4_K_S4.67
18.5 GB
15.3 + 3.3 KV
moderate
Q4_K_M4.89
19.2 GB
16.0 + 3.3 KV
good
Q5_K_S5.57
21.4 GB
18.1 + 3.3 KV
good
Q5_K_M5.7
21.8 GB
18.5 + 3.3 KV
good
Q6_K6.56
24.5 GB
21.2 + 3.3 KV
excellent
Q8_08.5
30.7 GB
27.4 + 3.3 KV
lossless
FP1616
54.4 GB
51.1 + 3.3 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 (4)

MMBench80.3
HumanEval73.2
MMMU54.9
MATH50.8

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run other:25b-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 M1 Pro (16GB)
16 GB VRAM • 200 GB/s
APPLE
$999
Apple M2 Pro (16GB)
16 GB VRAM • 200 GB/s
APPLE
$1299
Apple M4 (16GB)
16 GB VRAM • 120 GB/s
APPLE
$499
NVIDIA Tesla T4 16GB
16 GB VRAM • 320 GB/s
NVIDIA
$800
NVIDIA V100 PCIe 16GB
16 GB VRAM • 900 GB/s
NVIDIA
$2000
Apple M1 (16GB)
16 GB VRAM • 68.25 GB/s
APPLE
$699
Apple M2 (16GB)
16 GB VRAM • 100 GB/s
APPLE
$799
Apple M3 (16GB)
16 GB VRAM • 100 GB/s
APPLE
$799
NVIDIA Tesla P100 DGXS
16 GB VRAM • 732 GB/s
NVIDIA
NVIDIA Tesla P100 PCIe 16 GB
16 GB VRAM • 732 GB/s
NVIDIA
NVIDIA Tesla P100 SXM2
16 GB VRAM • 732 GB/s
NVIDIA
NVIDIA Tesla V100 PCIe 16 GB
16 GB VRAM • 897 GB/s
NVIDIA
NVIDIA Tesla V100 SXM2 16 GB
16 GB VRAM • 1130 GB/s
NVIDIA

Find the best GPU for Aria 25B A3.9B

Build Hardware for Aria 25B A3.9B
▸ SPEC SHEET

Aria 25B A3.9B25.3B MoE.

▸ SPECIFICATIONS
PARAMETERS
25.3B (3.9B active)
ARCHITECTURE
Mixture of Experts
CONTEXT LENGTH
64K tokens
CAPABILITIES
chat, vision, multilingual
RELEASE DATE
2024-10-08
PROVIDER
Rhymes AI
FAMILY
other
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q3_K_M413.1 GB88%
Q3_K_L4.314.1 GB90%
IQ4_XS4.4614.6 GB92%
Q4_K_S4.6715.3 GB93%
Q4_K_M4.8916.0 GB94%
Q5_K_S5.5718.1 GB96%
Q5_K_M5.718.5 GB96%
Q6_K6.5621.2 GB97%
Q8_08.527.4 GB100%
FP161651.1 GB100%
§ 01BENCHMARK SCORES
HumanEval73.2
MATH50.8
MMMU54.9
MMBench80.3
§ 03COMPATIBLE GPUs
30 @ Q4_K_M