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mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

gemma4:e2b

OLLAMA GGUF

gemma4 · 5.1B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

Global Score
77 vs 76
Hardware Fit
100 vs 82
Quality Score
67 vs 73

Hardware

mlx-community/meta… gemma4:e2b
MachineMac miniLENOVO 20U30029MB
CPUApple M4 ProIntel Core™ i5-10210U
Cores148
RAM64 GB15 GB
GPUApple M4 ProCometLake-U GT2 [UHD Graphics]
OSmacOS 15.7.4Pop 24.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

mlx-community/meta… gemma4:e2b
Tokens/sec54.313.5
First chunk277 ms1270 ms
TTFT277 ms1.3 s
Load timeN/A13.4 s
Memory usage4.2 GB6.5 GB
Memory %7%42%

HW Fit Score Breakdown

mlx-community/meta-llam…

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

gemma4:e2b

Speed
35/50
TTFT
20/20
Memory
27/30

Quality

mlx-community/meta-llam…

Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

gemma4:e2b

Reasoning
10/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View mlx-community/meta… details | View gemma4:e2b 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