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lmstudio-community/gemma-4-e2b-it

LM-STUDIO GGUF

gemma4 · Q8_0

Good

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

qwen/qwen3-30b-a3b-2507

LM-STUDIO MLX

qwen3_moe · 30B · 4bit

Excellent

Mar 4, 2026 · Apple M4

Global Score
77 vs 94
Hardware Fit
75 vs 100
Quality Score
78 vs 91

Hardware

lmstudio-community… qwen/qwen3-30b-a3b…
MachineDocker ContainerMacBook Air
CPUIntel Gen Intel® Core™ i9-11900HApple M4
Cores1610
RAM15 GB32 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4
OSUbuntu 26.04 LTSmacOS 26.3
Archx64arm64
Power Modeperformancebalanced

Performance

lmstudio-community… qwen/qwen3-30b-a3b…
Tokens/sec13.344.8
First chunk18 ms405 ms
TTFT1.4 s405 ms
Load time8.1 sN/A
Memory usage0.0 GB16.0 GB
Memory %0%50%

HW Fit Score Breakdown

lmstudio-community/gemm…

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

qwen/qwen3-30b-a3b-2507

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

Quality

lmstudio-community/gemm…

Reasoning
12/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen/qwen3-30b-a3b-2507

Reasoning
17/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View lmstudio-community… details | View qwen/qwen3-30b-a3b… 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