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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

qwen3:0.6b

OLLAMA GGUF

qwen3 · 751.63M · Q4_K_M

Good

Oct 11, 2026 · AMD Ryzen 5 5500

Global Score
77 vs 74
Hardware Fit
100 vs 100
Quality Score
67 vs 63

Hardware

mlx-community/meta… qwen3:0.6b
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… qwen3:0.6b
Tokens/sec54.3257.7
First chunk277 ms92 ms
TTFT277 ms675 ms
Load timeN/A4.7 s
Memory usage4.2 GB0.9 GB
Memory %7%11%

HW Fit Score Breakdown

mlx-community/meta-llam…

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

qwen3:0.6b

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

qwen3:0.6b

Reasoning
13/20
Coding
6/20
Instruction
12/20
Structured
13/15
Math
12/15
Multilingual
7/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Adequate
View mlx-community/meta… details | View qwen3:0.6b 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