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smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

mlx-community/stablelm-2-zephyr-1_6b-4bit

LM-STUDIO GGUF
Marginal

Mar 5, 2026 · Apple M4

Global Score
65 vs 50
Hardware Fit
99 vs 100
Quality Score
51 vs 29

Hardware

smollm2-1.7b-instr… mlx-community/stab…
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… mlx-community/stab…
Tokens/sec28.593.6
First chunk393 ms166 ms
TTFT393 ms166 ms
Load timeN/AN/A
Memory usage3.2 GB0.7 GB
Memory %10%2%

HW Fit Score Breakdown

smollm2-1.7b-instruct

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

mlx-community/stablelm-…

Speed
50/50
TTFT
20/20
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

mlx-community/stablelm-…

Reasoning
7/20
Coding
2/20
Instruction
9/20
Structured
3/15
Math
4/15
Multilingual
4/10
Reasoning: Weak Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Weak

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