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qwen3-5-4b-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

Global Score
83 vs 65
Hardware Fit
100 vs 99
Quality Score
76 vs 51

Hardware

qwen3-5-4b-q4-k-m smollm2-1.7b-instr…
MachineMac ProMacBook Air
CPUIntel Core™ i5-10400Apple M4
Cores1210
RAM32 GB32 GB
GPUAMD Radeon RX 6700 XTApple M4
OSmacOS 26.5.1macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3-5-4b-q4-k-m smollm2-1.7b-instr…
Tokens/sec62.728.5
First chunk278 ms393 ms
TTFT278 ms393 ms
Load time0.0 sN/A
Memory usage0.0 GB3.2 GB
Memory %0%10%

HW Fit Score Breakdown

qwen3-5-4b-q4-k-m

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

smollm2-1.7b-instruct

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

Quality

qwen3-5-4b-q4-k-m

Reasoning
14/20
Coding
15/20
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

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

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