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unsloth/gemma-4-26b-a4b-it-qat

LM-STUDIO GGUF

gemma4 · 26B · Q4_K_XL

Excellent

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

qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Good

Mar 5, 2026 · Apple M1 Max

Global Score
85 vs 62
Hardware Fit
65 vs 100
Quality Score
93 vs 46

Hardware

unsloth/gemma-4-26… qwen3.5:0.8b
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M1 Max
Cores1610
RAM15 GB32 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M1 Max
OSUbuntu 26.04 LTSmacOS 26.3
Archx64arm64
Power Modeperformancebalanced

Performance

unsloth/gemma-4-26… qwen3.5:0.8b
Tokens/sec11.967.6
First chunk17 ms209 ms
TTFT3.3 s209 ms
Load time69.8 s1.9 s
Memory usage0.5 GB2.6 GB
Memory %3%8%

HW Fit Score Breakdown

unsloth/gemma-4-26b-a4b…

Speed
22/50
TTFT
13/20
Memory
30/30

qwen3.5:0.8b

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

Quality

unsloth/gemma-4-26b-a4b…

Reasoning
19/20
Coding
19/20
Instruction
19/20
Structured
14/15
Math
13/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

qwen3.5:0.8b

Reasoning
9/20
Coding
4/20
Instruction
11/20
Structured
13/15
Math
3/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View unsloth/gemma-4-26… details | View qwen3.5:0.8b 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