smollm2-1.7b-instruct

LM-STUDIO GGUF

llama · 1.7B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

qwen2.5-7b-instruct

LM-STUDIO MLX

qwen2 · 7B · 4bit

Excellent

Mar 3, 2026 · Apple M4

Global Score

48 vs 82

Hardware Fit

63 vs 92

Quality Score

41 vs 78

Hardware

smollm2-1.7b-instr… qwen2.5-7b-instruct

MachineLENOVO 20BUS00700MacBook Air

CPUIntel Core™ i5-5300UApple M4

Cores410

RAM16 GB32 GB

GPUIntel(R) HD Graphics 5500Apple M4

OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

smollm2-1.7b-instr… qwen2.5-7b-instruct

Tokens/sec6.622.0

First chunk3184 ms477 ms

TTFT3.2 s477 ms

Load timeN/AN/A

Memory usage1.0 GB4.0 GB

Memory %6%13%

HW Fit Score Breakdown

smollm2-1.7b-instruct

Speed

23/50

TTFT

15/20

Memory

25/30

qwen2.5-7b-instruct

Speed

43/50

TTFT

20/20

Memory

29/30

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

qwen2.5-7b-instruct

Reasoning

14/20

Coding

17/20

Instruction

15/20

Structured

15/15

Math

8/15

Multilingual

9/10

Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

View smollm2-1.7b-instr… details | View qwen2.5-7b-instruct 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