lmstudio-community/gemma-4-26b-a4b-it
LM-STUDIO GGUFgemma4 · 26B · Q4_K_M
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
Global Score
81 vs 76
Hardware Fit
56 vs 100
Quality Score
91 vs 66
Hardware
lmstudio-community… hf.co/empero-ai/Qw…
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M1 Pro
Cores1610
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M1 Pro
OSUbuntu 26.04 LTSmacOS 26.6.2
Archx64arm64
Power Modeperformancebalanced
Performance
lmstudio-community… hf.co/empero-ai/Qw…
Tokens/sec9.940.3
First chunk145 ms101 ms
TTFT4.4 s101 ms
Load time48.3 s2.7 s
Memory usage5.6 GB4.5 GB
Memory %37%28%
HW Fit Score Breakdown
lmstudio-community/gemm…
Speed
18/50
TTFT
10/20
Memory
28/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
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
hf.co/empero-ai/Qwen3.8…
Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest