llama-3.1-8b-instruct
LM-STUDIO GGUFllama · 8B · Q8_0
Apr 26, 2026 · AMD Ryzen 5 5500
lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
Global Score
81 vs 60
Hardware Fit
100 vs 80
Quality Score
73 vs 52
Hardware
llama-3.1-8b-instr… lfm2.5-thinking:1.2b
MachineASUSMacBook Pro
CPUAMD Ryzen 5 5500Apple M4 Pro
Cores1214
RAM31 GB48 GB
GPUNavi 44 [Radeon RX 9060 XT]Apple M4 Pro
OSNobara Linux 43macOS 26.4.1
Archx64arm64
Power Modeperformancebalanced
Performance
llama-3.1-8b-instr… lfm2.5-thinking:1.2b
Tokens/sec35.6227.0
First chunk52 ms60 ms
TTFT256 ms30.0 s
Load timeN/A0.7 s
Memory usage8.6 GB2.6 GB
Memory %28%6%
HW Fit Score Breakdown
llama-3.1-8b-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
Quality
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
lfm2.5-thinking:1.2b
Reasoning
8/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
12/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Strong 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