qwen3-vl-4b-instruct-q4_k_m
OPENAI GGUFApr 22, 2026 · Apple M2 Max
qwen3.8:27b-bf16
OLLAMA GGUFqwen35 · 27.3B · BF16
Aug 22, 2026 · AMD EPYC 7713 64-Core Processor
Global Score
62 vs 85
Hardware Fit
100 vs 77
Quality Score
46 vs 88
Hardware
qwen3-vl-4b-instru… qwen3.8:27b-bf16
MachineMac StudioDell Inc. PowerEdge XE8545
CPUApple M2 MaxAMD EPYC 7713 64-Core Processor
Cores12128
RAM96 GB1007 GB
GPUApple M2 MaxGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSmacOS 26.1Rocky Linux 8.10
Archarm64x64
Power Modebalancedunknown
Performance
qwen3-vl-4b-instru… qwen3.8:27b-bf16
Tokens/sec67.227.2
First chunk66 ms237 ms
TTFT68 ms237 ms
Load time0.0 s43.8 s
Memory usage0.2 GB68.8 GB
Memory %0%7%
HW Fit Score Breakdown
qwen3-vl-4b-instruct-q4…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.8:27b-bf16
Speed
27/50
TTFT
20/20
Memory
30/30
Quality
qwen3-vl-4b-instruct-q4…
Reasoning
16/20
Coding
0/20
Instruction
12/20
Structured
1/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Poor Math: Adequate Multilingual: Strong
qwen3.8:27b-bf16
Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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