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smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

qwen3.5:2b

OLLAMA GGUF

qwen35 · 2.3B · Q8_0

Good

Mar 2, 2026 · Apple M4

Global Score
65 vs 73
Hardware Fit
99 vs 100
Quality Score
51 vs 62

Hardware

smollm2-1.7b-instr… qwen3.5:2b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

smollm2-1.7b-instr… qwen3.5:2b
Tokens/sec28.530.4
First chunk393 msN/A
TTFT393 ms215 ms
Load timeN/A1.8 s
Memory usage3.2 GB4.5 GB
Memory %10%14%

HW Fit Score Breakdown

smollm2-1.7b-instruct

Speed
50/50
TTFT
20/20
Memory
29/30

qwen3.5:2b

Speed
40/50
TTFT
30/20
Memory
30/30

Quality

smollm2-1.7b-instruct

Reasoning
10/20
Coding
10/20
Instruction
13/20
Structured
11/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate

qwen3.5:2b

Reasoning
12/20
Coding
10/20
Instruction
13/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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