mistral-small:24b
OLLAMA GGUFllama · 23.6B · Q4_K_M
Jun 26, 2026 · Cortex-X925
liquid/lfm2-1.2b
LM-STUDIO GGUFlfm2 · 1.2B · Q8_0
Oct 1, 2026 · AMD Ryzen 7 4800H
Global Score
75 vs 69
Hardware Fit
64 vs 100
Quality Score
80 vs 56
Hardware
mistral-small:24b liquid/lfm2-1.2b
MachineNVIDIA NVIDIA_DGX_SparkASUSTeK COMPUTER INC. ROG Strix G513IM_G513IM
CPUCortex-X925AMD Ryzen 7 4800H
Cores2016
RAM122 GB15 GB
GPUDevice 2e12AMD Radeon(TM) Graphics, NVIDIA GeForce RTX 3060 Laptop GPU
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modeperformancebalanced
Performance
mistral-small:24b liquid/lfm2-1.2b
Tokens/sec14.3169.5
First chunk327 ms27 ms
TTFT327 ms77 ms
Load time12.0 sN/A
Memory usage18.5 GB3.4 GB
Memory %15%22%
HW Fit Score Breakdown
mistral-small:24b
Speed
14/50
TTFT
20/20
Memory
30/30
liquid/lfm2-1.2b
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
liquid/lfm2-1.2b
Reasoning
9/20
Coding
7/20
Instruction
14/20
Structured
12/15
Math
5/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak 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