mistral-small:24b
OLLAMA GGUFllama · 23.6B · Q4_K_M
Jun 26, 2026 · Cortex-X925
adityakale/kotakneo
OLLAMA GGUFAug 5, 2026 · AMD RYZEN AI MAX+ 395
Global Score
75 vs 77
Hardware Fit
64 vs 100
Quality Score
80 vs 67
Hardware
mistral-small:24b adityakale/kotakneo
MachineNVIDIA NVIDIA_DGX_SparkAZW GTR Pro
CPUCortex-X925AMD RYZEN AI MAX+ 395
Cores2032
RAM122 GB125 GB
GPUDevice 2e12Radeon 8060S
OSUbuntu 24.04.4 LTSUbuntu 24.04.4 LTS
Archarm64x64
Power Modeperformancelow-power
Performance
mistral-small:24b adityakale/kotakneo
Tokens/sec14.381.2
First chunk327 ms183 ms
TTFT327 ms183 ms
Load time12.0 s2.5 s
Memory usage18.5 GB17.8 GB
Memory %15%14%
HW Fit Score Breakdown
mistral-small:24b
Speed
14/50
TTFT
20/20
Memory
30/30
adityakale/kotakneo
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
mistral-small:24b
Reasoning
16/20
Coding
18/20
Instruction
14/20
Structured
13/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
adityakale/kotakneo
Reasoning
11/20
Coding
14/20
Instruction
16/20
Structured
14/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest