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

LM-STUDIO GGUF

gemma4 · 26B · Q4_0

Excellent

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

prism-ml/bonsai-27b

LM-STUDIO GGUF

qwen35 · 27B · Q1_0

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
82 vs 81
Hardware Fit
56 vs 95
Quality Score
93 vs 75

Hardware

google/gemma-4-26b… prism-ml/bonsai-27b
MachineDocker ContainerASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUIntel Gen Intel® Core™ i9-11900HAMD Ryzen 9 8940HX
Cores1632
RAM15 GB15 GB
GPUTigerLake-H GT1 [UHD Graphics]NVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSUbuntu 26.04 LTSMicrosoft Windows 11 Home Single Language 10.0.26200
Archx64x64
Power Modeperformancebalanced

Performance

google/gemma-4-26b… prism-ml/bonsai-27b
Tokens/sec12.033.6
First chunk86 ms20 ms
TTFT2.8 s409 ms
Load time57.2 sN/A
Memory usage9.1 GB5.3 GB
Memory %59%35%

HW Fit Score Breakdown

google/gemma-4-26b-a4b-…

Speed
22/50
TTFT
14/20
Memory
20/30

prism-ml/bonsai-27b

Speed
46/50
TTFT
20/20
Memory
29/30

Quality

google/gemma-4-26b-a4b-…

Reasoning
17/20
Coding
19/20
Instruction
20/20
Structured
14/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

prism-ml/bonsai-27b

Reasoning
17/20
Coding
13/20
Instruction
13/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate 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