qwen3:8b
OLLAMA GGUFqwen3 · 8.2B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
liquid/lfm2-24b-a2b
LM-STUDIO MLXlfm2_moe · 24B · 4bit
Mar 19, 2026 · Apple M4
Global Score
80 vs 74
Hardware Fit
85 vs 84
Quality Score
78 vs 69
Hardware
qwen3:8b liquid/lfm2-24b-a2b
MachineHP HP Z8 G4 WorkstationMac mini
CPUIntel Xeon® Gold 6230Apple M4
Cores8010
RAM252 GB24 GB
GPUTU104GL [Quadro RTX 5000]Apple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archx64arm64
Power Modelow-powerbalanced
Performance
qwen3:8b liquid/lfm2-24b-a2b
Tokens/sec65.158.9
First chunk289 ms28 ms
TTFT4.2 s481 ms
Load time4.6 sN/A
Memory usage5.6 GB17.5 GB
Memory %2%73%
HW Fit Score Breakdown
qwen3:8b
Speed
50/50
TTFT
5/20
Memory
30/30
liquid/lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
14/30
Quality
qwen3:8b
Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
liquid/lfm2-24b-a2b
Reasoning
11/20
Coding
12/20
Instruction
16/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate 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