qwen3:4b
OLLAMA GGUFqwen3 · 4.0B · Q4_K_M
Nov 4, 2026 · Intel Core™ i7-9700
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
Global Score
29 vs 76
Hardware Fit
84 vs 100
Quality Score
6 vs 66
Hardware
qwen3:4b hf.co/empero-ai/Qw…
MachineVMware, Inc. VMware Virtual PlatformMacBook Pro
CPUIntel Core™ i7-9700Apple M1 Pro
Cores410
RAM16 GB16 GB
GPUIntegrated / UnknownApple M1 Pro
OSUbuntu 24.04.5 LTSmacOS 26.6.2
Archx64arm64
Power Modeunknownbalanced
Performance
qwen3:4b hf.co/empero-ai/Qw…
Tokens/sec10.440.3
First chunk857 ms101 ms
TTFT857 ms101 ms
Load time41.0 s2.7 s
Memory usage3.0 GB4.5 GB
Memory %19%28%
HW Fit Score Breakdown
qwen3:4b
Speed
34/50
TTFT
20/20
Memory
30/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3:4b
Reasoning
0/20
Coding
2/20
Instruction
2/20
Structured
0/15
Math
1/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
hf.co/empero-ai/Qwen3.8…
Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest