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smollm2:1.7b

OLLAMA GGUF

llama · 1.7B · Q8_0

Good

Mar 2, 2026 · Apple M4

deepseek-r1-distill-qwen-14b-mlx

LM-STUDIO MLX

qwen2 · 14B · 5bit

Not Rec.

Mar 11, 2026 · Apple M4

Global Score
64 vs 36
Hardware Fit
100 vs 53
Quality Score
49 vs 28

Hardware

smollm2:1.7b deepseek-r1-distil…
MachineMacBook AirMac mini
CPUApple M4Apple M4
Cores1010
RAM32 GB24 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

smollm2:1.7b deepseek-r1-distil…
Tokens/sec51.810.3
First chunkN/A27 ms
TTFT84 ms20.7 s
Load time0.4 s15.4 s
Memory usage3.7 GB1.0 GB
Memory %12%4%

HW Fit Score Breakdown

smollm2:1.7b

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

deepseek-r1-distill-qwe…

Speed
23/50
TTFT
0/20
Memory
30/30

Quality

smollm2:1.7b

Reasoning
7/20
Coding
10/20
Instruction
12/20
Structured
13/15
Math
1/15
Multilingual
6/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

deepseek-r1-distill-qwe…

Reasoning
3/20
Coding
6/20
Instruction
6/20
Structured
3/15
Math
2/15
Multilingual
8/10
Reasoning: Poor Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Strong
View smollm2:1.7b details | View deepseek-r1-distil… details

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