smollm2-1.7b-instruct
LM-STUDIO GGUFllama · 1.7B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 19, 2026 · Apple M4 Max
Global Score
48 vs 83
Hardware Fit
63 vs 68
Quality Score
41 vs 90
Hardware
smollm2-1.7b-instr… qwen/qwen3.8-27b
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M4 Max
Cores416
RAM16 GB128 GB
GPUIntel(R) HD Graphics 5500Apple M4 Max
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced
Performance
smollm2-1.7b-instr… qwen/qwen3.8-27b
Tokens/sec6.627.6
First chunk3184 ms10 ms
TTFT3.2 s4.6 s
Load timeN/AN/A
Memory usage1.0 GB21.0 GB
Memory %6%16%
HW Fit Score Breakdown
smollm2-1.7b-instruct
Speed
23/50
TTFT
15/20
Memory
25/30
qwen/qwen3.8-27b
Speed
32/50
TTFT
6/20
Memory
30/30
Quality
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
qwen/qwen3.8-27b
Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong 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