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lfm2.5-1.2b-instruct-mlx

LM-STUDIO MLX

lfm2 · 1.2B · 8bit

Good

Mar 4, 2026 · Apple M4

unsloth/gemma-4-26b-a4b-it@q4_k_m

LM-STUDIO GGUF

gemma4 · 26B · Q4_K_M

Excellent

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
68 vs 83
Hardware Fit
100 vs 58
Quality Score
54 vs 93

Hardware

lfm2.5-1.2b-instru… unsloth/gemma-4-26…
MachineMacBook AirDocker Container
CPUApple M4Intel Gen Intel® Core™ i9-11900H
Cores1016
RAM32 GB15 GB
GPUApple M4TigerLake-H GT1 [UHD Graphics]
OSmacOS 26.3Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

lfm2.5-1.2b-instru… unsloth/gemma-4-26…
Tokens/sec77.39.4
First chunk177 ms42 ms
TTFT177 ms4.1 s
Load timeN/A44.3 s
Memory usage1.2 GB0.2 GB
Memory %4%1%

HW Fit Score Breakdown

lfm2.5-1.2b-instruct-mlx

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

unsloth/gemma-4-26b-a4b…

Speed
17/50
TTFT
11/20
Memory
30/30

Quality

lfm2.5-1.2b-instruct-mlx

Reasoning
10/20
Coding
7/20
Instruction
16/20
Structured
12/15
Math
1/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong

unsloth/gemma-4-26b-a4b…

Reasoning
18/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View lfm2.5-1.2b-instru… details | View unsloth/gemma-4-26… 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