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mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_K_M

Good

May 27, 2026 · AMD Ryzen 5 2600X Six-Core Processor

lfm2.5-thinking:1.2b

OLLAMA GGUF

lfm2 · 1.2B · Q4_K_M

Not Rec.

May 25, 2026 · Apple M4 Pro

Global Score
73 vs 60
Hardware Fit
100 vs 80
Quality Score
62 vs 52

Hardware

mistral:latest lfm2.5-thinking:1.2b
MachineMicro-Star International Co., Ltd. MS-7B79MacBook Pro
CPUAMD Ryzen 5 2600X Six-Core ProcessorApple M4 Pro
Cores1214
RAM16 GB48 GB
GPUNVIDIA GeForce GTX 1080Apple M4 Pro
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.4.1
Archx64arm64
Power Modebalancedbalanced

Performance

mistral:latest lfm2.5-thinking:1.2b
Tokens/sec31.7227.0
First chunk102 ms60 ms
TTFT102 ms30.0 s
Load time14.3 s0.7 s
Memory usage4.8 GB2.6 GB
Memory %30%6%

HW Fit Score Breakdown

mistral:latest

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

lfm2.5-thinking:1.2b

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

Quality

mistral:latest

Reasoning
8/20
Coding
13/20
Instruction
16/20
Structured
12/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Strong 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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest