Back to leaderboard

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

bloomz-560m

LM-STUDIO GGUF

bloom · 560M · Q4_K_M

Not Rec.

Mar 8, 2026 · Intel Core™ i5-5300U

Global Score
76 vs 30
Hardware Fit
73 vs 85
Quality Score
77 vs 7

Hardware

glm-4.7-flash:bf16 bloomz-560m
MachineNVIDIA NVIDIA_DGX_SparkLENOVO 20BUS00700
CPUCortex-X925Intel Core™ i5-5300U
Cores204
RAM122 GB16 GB
GPUDevice 2e12Intel(R) HD Graphics 5500
OSUbuntu 24.04.4 LTSMicrosoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modeperformancebalanced

Performance

glm-4.7-flash:bf16 bloomz-560m
Tokens/sec25.812.2
First chunk605 ms1167 ms
TTFT605 ms1.2 s
Load time44.2 sN/A
Memory usage57.0 GB0.5 GB
Memory %47%3%

HW Fit Score Breakdown

glm-4.7-flash:bf16

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

bloomz-560m

Speed
38/50
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

bloomz-560m

Reasoning
4/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
0/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

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