mlx-community/meta-llama-3.1-8b-instruct
LM-STUDIO MLXllama · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
qwen2.5-1.5b-instruct
LM-STUDIO GGUFqwen2 · 1.5B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
Global Score
77 vs 61
Hardware Fit
100 vs 69
Quality Score
67 vs 58
Hardware
mlx-community/meta… qwen2.5-1.5b-instr…
MachineMac miniLENOVO 20BUS00700
CPUApple M4 ProIntel Core™ i5-5300U
Cores144
RAM64 GB16 GB
GPUApple M4 ProIntel(R) HD Graphics 5500
OSmacOS 15.7.4Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced
Performance
mlx-community/meta… qwen2.5-1.5b-instr…
Tokens/sec54.36.6
First chunk277 ms2277 ms
TTFT277 ms2.3 s
Load timeN/AN/A
Memory usage4.2 GB0.9 GB
Memory %7%6%
HW Fit Score Breakdown
mlx-community/meta-llam…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen2.5-1.5b-instruct
Speed
23/50
TTFT
19/20
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
qwen2.5-1.5b-instruct
Reasoning
9/20
Coding
9/20
Instruction
13/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak 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