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microllm-50m:latest

OLLAMA GGUF

llama · 49.31M · F16

Not Rec.

Jun 28, 2026 · Apple M4 Pro

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

Global Score
28 vs 76
Hardware Fit
80 vs 73
Quality Score
5 vs 77

Hardware

microllm-50m:latest glm-4.7-flash:bf16
MachineMac miniNVIDIA NVIDIA_DGX_Spark
CPUApple M4 ProCortex-X925
Cores1220
RAM24 GB122 GB
GPUApple M4 ProDevice 2e12
OSmacOS 15.6.1Ubuntu 24.04.4 LTS
Archarm64arm64
Power Modebalancedperformance

Performance

microllm-50m:latest glm-4.7-flash:bf16
Tokens/sec1000000.025.8
First chunk50 ms605 ms
TTFT30.0 s605 ms
Load time0.3 s44.2 s
Memory usage0.1 GB57.0 GB
Memory %1%47%

HW Fit Score Breakdown

microllm-50m:latest

Speed
50/50
TTFT
0/20
Memory
30/30

glm-4.7-flash:bf16

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

Quality

microllm-50m:latest

Reasoning
0/20
Coding
0/20
Instruction
5/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

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
View microllm-50m:latest details | View glm-4.7-flash:bf16 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