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microllm-10m:latest

OLLAMA GGUF

llama · 10.00M · F16

Not Rec.

Jun 28, 2026 · Apple M4 Pro

qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

Global Score
33 vs 85
Hardware Fit
100 vs 77
Quality Score
4 vs 88

Hardware

microllm-10m:latest qwen3.8:27b-bf16
MachineMac miniDell Inc. PowerEdge XE8545
CPUApple M4 ProAMD EPYC 7713 64-Core Processor
Cores12128
RAM24 GB1007 GB
GPUApple M4 ProGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSmacOS 15.6.1Rocky Linux 8.10
Archarm64x64
Power Modebalancedunknown

Performance

microllm-10m:latest qwen3.8:27b-bf16
Tokens/sec1544.827.2
First chunk12 ms237 ms
TTFT12 ms237 ms
Load time0.0 s43.8 s
Memory usage0.0 GB68.8 GB
Memory %0%7%

HW Fit Score Breakdown

microllm-10m:latest

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

qwen3.8:27b-bf16

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

Quality

microllm-10m:latest

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

qwen3.8:27b-bf16

Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View microllm-10m:latest details | View qwen3.8:27b-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