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smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K

Global Score
65 vs 90
Hardware Fit
99 vs 97
Quality Score
51 vs 87

Hardware

smollm2-1.7b-instr… Qwen3.8-27B-UD-Q3_…
MachineMacBook Air—
CPUApple M4Intel Gen Intel® Core™ i5-12600K
Cores1016
RAM32 GB31 GB
GPUApple M4AlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

smollm2-1.7b-instr… Qwen3.8-27B-UD-Q3_…
Tokens/sec28.539.0
First chunk393 ms305 ms
TTFT393 ms305 ms
Load timeN/A0.0 s
Memory usage3.2 GB12.5 GB
Memory %10%41%

HW Fit Score Breakdown

smollm2-1.7b-instruct

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

Qwen3.8-27B-UD-Q3_K_XL

Speed
50/50
TTFT
20/20
Memory
27/30

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

Qwen3.8-27B-UD-Q3_K_XL

Reasoning
17/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View smollm2-1.7b-instr… details | View Qwen3.8-27B-UD-Q3_… 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