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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

lfm2-24b-a2b

LM-STUDIO GGUF
Good

Mar 6, 2026 · Apple M4 Pro

Global Score
83 vs 78
Hardware Fit
100 vs 100
Quality Score
76 vs 68

Hardware

qwen3-5-4b-q4-k-m lfm2-24b-a2b
MachineMac ProMac mini
CPUIntel Core™ i5-10400Apple M4 Pro
Cores1214
RAM32 GB64 GB
GPUAMD Radeon RX 6700 XTApple M4 Pro
OSmacOS 26.5.1macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3-5-4b-q4-k-m lfm2-24b-a2b
Tokens/sec62.7105.9
First chunk278 ms252 ms
TTFT278 ms252 ms
Load time0.0 sN/A
Memory usage0.0 GB0.1 GB
Memory %0%0%

HW Fit Score Breakdown

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

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

lfm2-24b-a2b

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

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

lfm2-24b-a2b

Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen3-5-4b-q4-k-m details | View lfm2-24b-a2b 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