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lfm2.5-thinking:1.2b

OLLAMA GGUF

lfm2 · 1.2B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

qwen3.8:27b-q8_0

OLLAMA GGUF

qwen35 · 27.3B · Q8_0

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

Global Score
60 vs 89
Hardware Fit
80 vs 88
Quality Score
52 vs 89

Hardware

lfm2.5-thinking:1.2b qwen3.8:27b-q8_0
MachineMacBook ProDell Inc. PowerEdge XE8545
CPUApple M4 ProAMD EPYC 7713 64-Core Processor
Cores14128
RAM48 GB1007 GB
GPUApple M4 ProGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSmacOS 26.4.1Rocky Linux 8.10
Archarm64x64
Power Modebalancedunknown

Performance

lfm2.5-thinking:1.2b qwen3.8:27b-q8_0
Tokens/sec227.039.9
First chunk60 ms192 ms
TTFT30.0 s192 ms
Load time0.7 s19.0 s
Memory usage2.6 GB51.0 GB
Memory %6%5%

HW Fit Score Breakdown

lfm2.5-thinking:1.2b

Speed
50/50
TTFT
0/20
Memory
30/30

qwen3.8:27b-q8_0

Speed
38/50
TTFT
20/20
Memory
30/30

Quality

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

qwen3.8:27b-q8_0

Reasoning
18/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View lfm2.5-thinking:1.2b details | View qwen3.8:27b-q8_0 details

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