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hf.co/Edge-Quant/Nanbeige4.1-3B-Q8_0-GGUF:Q8_0

OLLAMA GGUF

llama · 3.93B · unknown

Not Rec.

Aug 22, 2026 · Apple M1 Pro

lmstudio-community/gemma-4-26b-a4b-it

LM-STUDIO GGUF

gemma4 · 26B · Q4_K_M

Excellent

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
52 vs 81
Hardware Fit
75 vs 56
Quality Score
42 vs 91

Hardware

hf.co/Edge-Quant/N… lmstudio-community…
MachineMacBook ProDocker Container
CPUApple M1 ProIntel Gen Intel® Core™ i9-11900H
Cores1016
RAM16 GB15 GB
GPUApple M1 ProTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.6.2Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

hf.co/Edge-Quant/N… lmstudio-community…
Tokens/sec43.59.9
First chunk225 ms145 ms
TTFT30.0 s4.4 s
Load time2.7 s48.3 s
Memory usage8.2 GB5.6 GB
Memory %51%37%

HW Fit Score Breakdown

hf.co/Edge-Quant/Nanbei…

Speed
50/50
TTFT
0/20
Memory
25/30

lmstudio-community/gemm…

Speed
18/50
TTFT
10/20
Memory
28/30

Quality

hf.co/Edge-Quant/Nanbei…

Reasoning
13/20
Coding
1/20
Instruction
7/20
Structured
1/15
Math
13/15
Multilingual
7/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Adequate

lmstudio-community/gemm…

Reasoning
17/20
Coding
19/20
Instruction
18/20
Structured
14/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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