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qwen2.5-coder:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
68 vs 83
Hardware Fit
100 vs 96
Quality Score
54 vs 78

Hardware

qwen2.5-coder:1.5b google/gemma-4-e4b
MachineLENOVO 20U30029MBASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUIntel Core™ i5-10210UAMD Ryzen 9 8940HX
Cores832
RAM15 GB15 GB
GPUCometLake-U GT2 [UHD Graphics]NVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSPop 24.04 LTSMicrosoft Windows 11 Home Single Language 10.0.26200
Archx64x64
Power Modelow-powerbalanced

Performance

qwen2.5-coder:1.5b google/gemma-4-e4b
Tokens/sec21.835.9
First chunk499 ms9 ms
TTFT499 ms182 ms
Load time4.4 sN/A
Memory usage1.5 GB6.5 GB
Memory %10%43%

HW Fit Score Breakdown

qwen2.5-coder:1.5b

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

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

Quality

qwen2.5-coder:1.5b

Reasoning
8/20
Coding
11/20
Instruction
13/20
Structured
11/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Strong

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View qwen2.5-coder:1.5b details | View google/gemma-4-e4b 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