mlx-community/meta-llama-3.1-8b-instruct
LM-STUDIO MLXllama · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
qwen3-5-4b-q4-k-m
OLLAMA GGUFllama · 4B · Q4_K_M
Jul 9, 2026 · Intel Core™ i5-10400
Global Score
77 vs 83
Hardware Fit
100 vs 100
Quality Score
67 vs 76
Hardware
mlx-community/meta… qwen3-5-4b-q4-k-m
MachineMac miniMac Pro
CPUApple M4 ProIntel Core™ i5-10400
Cores1412
RAM64 GB32 GB
GPUApple M4 ProAMD Radeon RX 6700 XT
OSmacOS 15.7.4macOS 26.5.1
Archarm64x64
Power Modebalancedbalanced
Performance
mlx-community/meta… qwen3-5-4b-q4-k-m
Tokens/sec54.362.7
First chunk277 ms278 ms
TTFT277 ms278 ms
Load timeN/A0.0 s
Memory usage4.2 GB0.0 GB
Memory %7%0%
HW Fit Score Breakdown
mlx-community/meta-llam…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3-5-4b-q4-k-m
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
qwen3-5-4b-q4-k-m
Reasoning
14/20
Coding
15/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong 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