FitMyLLM
Reka AI/Dense

RReka Flash 3

Reka Flash 3 is a 21B general-purpose reasoning model that was trained from scratch. It was trained in synthetic and public datasets for supervised finetuning, followed by RLOO with model-based and rule-based rewards.

chatreasoningcoding
21B
Parameters
32K
Context length
11
Benchmarks
10
Quantizations
0
Architecture
Dense
Released
2025-03-15
Layers
44
KV Heads
8
Head Dim
96
Family
other

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q3_K_M4
12.5 GB
11.0 + 1.5 KV
low
Q3_K_L4.3
13.3 GB
11.8 + 1.5 KV
moderate
IQ4_XS4.46
13.7 GB
12.2 + 1.5 KV
moderate
Q4_K_S4.67
14.3 GB
12.7 + 1.5 KV
moderate
Q4_K_M4.89
14.9 GB
13.3 + 1.5 KV
good
Q5_K_S5.57
16.7 GB
15.1 + 1.5 KV
good
Q5_K_M5.7
17.0 GB
15.5 + 1.5 KV
good
Q6_K6.56
19.3 GB
17.7 + 1.5 KV
excellent
Q8_08.5
24.3 GB
22.8 + 1.5 KV
lossless
FP1616
44.0 GB
42.5 + 1.5 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 (11)

MATH-50089.3
MMLU-PRO65.0
GPQA Diamond52.9
LiveCodeBench43.5
AIME33.7
AA Math33.7
IFBench30.4
SciCode26.7
AA Intelligence9.5
AA Coding8.9
HLE5.1

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run other:21b-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 Reka Flash 3

Build Hardware for Reka Flash 3
▸ SPEC SHEET

Reka Flash 321B Dense.

▸ SPECIFICATIONS
PARAMETERS
21B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
32K tokens
CAPABILITIES
chat, reasoning, coding
RELEASE DATE
2025-03-15
PROVIDER
Reka AI
FAMILY
other
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q3_K_M411.0 GB88%
Q3_K_L4.311.8 GB90%
IQ4_XS4.4612.2 GB92%
Q4_K_S4.6712.7 GB93%
Q4_K_M4.8913.3 GB94%
Q5_K_S5.5715.1 GB96%
Q5_K_M5.715.5 GB96%
Q6_K6.5617.7 GB97%
Q8_08.522.8 GB100%
FP161642.5 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO65.0
GPQA Diamond52.9
LiveCodeBench43.5
AIME33.7
HLE5.1
AA Intelligence9.5
AA Coding8.9
AA Math33.7
aa_ifbench30.4
aa_scicode26.7
MATH-50089.3
§ 03COMPATIBLE GPUs
30 @ Q4_K_M