mlx-community/meta-llama-3.1-8b-instruct
LM-STUDIO MLXllama · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
smollm2-1.7b-instruct
LM-STUDIO GGUFllama · 1.7B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
Global Score
77 vs 48
Hardware Fit
100 vs 63
Quality Score
67 vs 41
Hardware
mlx-community/meta… smollm2-1.7b-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… smollm2-1.7b-instr…
Tokens/sec54.36.6
First chunk277 ms3184 ms
TTFT277 ms3.2 s
Load timeN/AN/A
Memory usage4.2 GB1.0 GB
Memory %7%6%
HW Fit Score Breakdown
mlx-community/meta-llam…
Speed
50/50
TTFT
20/20
Memory
30/30
smollm2-1.7b-instruct
Speed
23/50
TTFT
15/20
Memory
25/30
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
smollm2-1.7b-instruct
Reasoning
5/20
Coding
7/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
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