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qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

smollm2-1.7b-instruct

LM-STUDIO GGUF

llama · 1.7B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score
36 vs 48
Hardware Fit
100 vs 63
Quality Score
8 vs 41

Hardware

qwen36-distill-apex smollm2-1.7b-instr…
MachineMacBook ProLENOVO 20BUS00700
CPUApple M5 MaxIntel Core™ i5-5300U
Cores184
RAM64 GB16 GB
GPUApple M5 MaxIntel(R) HD Graphics 5500
OSmacOS 27.0Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

qwen36-distill-apex smollm2-1.7b-instr…
Tokens/sec55.26.6
First chunk210 ms3184 ms
TTFT210 ms3.2 s
Load time4.8 sN/A
Memory usage0.9 GB1.0 GB
Memory %2%6%

HW Fit Score Breakdown

qwen36-distill-apex

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

smollm2-1.7b-instruct

Speed
23/50
TTFT
15/20
Memory
25/30

Quality

qwen36-distill-apex

Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

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
View qwen36-distill-apex details | View smollm2-1.7b-instr… 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