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lfm2-24b-a2b

LM-STUDIO GGUF
Good

Mar 6, 2026 · Apple M4 Pro

llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

Global Score
78 vs 81
Hardware Fit
100 vs 100
Quality Score
68 vs 73

Hardware

lfm2-24b-a2b llama-3.1-8b-instr…
MachineMac miniASUS
CPUApple M4 ProAMD Ryzen 5 5500
Cores1412
RAM64 GB31 GB
GPUApple M4 ProNavi 44 [Radeon RX 9060 XT]
OSmacOS 15.7.4Nobara Linux 43
Archarm64x64
Power Modebalancedperformance

Performance

lfm2-24b-a2b llama-3.1-8b-instr…
Tokens/sec105.935.6
First chunk252 ms52 ms
TTFT252 ms256 ms
Load timeN/AN/A
Memory usage0.1 GB8.6 GB
Memory %0%28%

HW Fit Score Breakdown

lfm2-24b-a2b

Speed
50/50
TTFT
20/20
Memory
30/30

llama-3.1-8b-instruct

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

lfm2-24b-a2b

Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

llama-3.1-8b-instruct

Reasoning
13/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest