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glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
76 vs 83
Hardware Fit
73 vs 96
Quality Score
77 vs 78

Hardware

glm-4.7-flash:bf16 google/gemma-4-e4b
MachineNVIDIA NVIDIA_DGX_SparkASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUCortex-X925AMD Ryzen 9 8940HX
Cores2032
RAM122 GB15 GB
GPUDevice 2e12NVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 Home Single Language 10.0.26200
Archarm64x64
Power Modeperformancebalanced

Performance

glm-4.7-flash:bf16 google/gemma-4-e4b
Tokens/sec25.835.9
First chunk605 ms9 ms
TTFT605 ms182 ms
Load time44.2 sN/A
Memory usage57.0 GB6.5 GB
Memory %47%43%

HW Fit Score Breakdown

glm-4.7-flash:bf16

Speed
27/50
TTFT
20/20
Memory
26/30

google/gemma-4-e4b

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

Quality

glm-4.7-flash:bf16

Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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

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