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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 · 4.6B · Q4_K_M

Excellent

Oct 12, 2026 · AMD Ryzen 5 5500

Global Score
77 vs 85
Hardware Fit
100 vs 100
Quality Score
67 vs 78

Hardware

mlx-community/meta… gemma4:e2b
MachineMac miniMicrosoft WSL
CPUApple M4 ProAMD Ryzen 5 5500
Cores1412
RAM64 GB8 GB
GPUApple M4 ProIntegrated / Unknown
OSmacOS 15.7.4Ubuntu 26.04.1 LTS
Archarm64x64
Power Modebalancedunknown

Performance

mlx-community/meta… gemma4:e2b
Tokens/sec54.3139.2
First chunk277 ms51 ms
TTFT277 ms51 ms
Load timeN/A28.5 s
Memory usage4.2 GB0.2 GB
Memory %7%3%

HW Fit Score Breakdown

mlx-community/meta-llam…

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

gemma4:e2b

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

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
13/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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