lmstudio-community/meta-llama-3.1-8b-instruct
LM-STUDIO GGUFllama · 8B · Q4_K_M
Mar 5, 2026 · Apple M4 Pro
liquid/lfm2-24b-a2b
LM-STUDIO MLXlfm2_moe · 24B · 4bit
Mar 19, 2026 · Apple M4
Global Score
78 vs 74
Hardware Fit
100 vs 84
Quality Score
69 vs 69
Hardware
lmstudio-community… liquid/lfm2-24b-a2b
MachineMac miniMac mini
CPUApple M4 ProApple M4
Cores1410
RAM64 GB24 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
lmstudio-community… liquid/lfm2-24b-a2b
Tokens/sec46.058.9
First chunk245 ms28 ms
TTFT245 ms481 ms
Load timeN/AN/A
Memory usage4.6 GB17.5 GB
Memory %7%73%
HW Fit Score Breakdown
lmstudio-community/meta…
Speed
50/50
TTFT
20/20
Memory
30/30
liquid/lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
14/30
Quality
lmstudio-community/meta…
Reasoning
11/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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