llama3.1:8b
OLLAMA GGUFllama · 8.0B · Q4_K_M
Jun 26, 2026 · Cortex-A78AE
qwen3.8:27b-bf16
OLLAMA GGUFqwen35 · 27.3B · BF16
Aug 22, 2026 · AMD EPYC 7713 64-Core Processor
Global Score
46 vs 85
Hardware Fit
61 vs 77
Quality Score
40 vs 88
Hardware
llama3.1:8b qwen3.8:27b-bf16
MachineNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit SuperDell Inc. PowerEdge XE8545
CPUCortex-A78AEAMD EPYC 7713 64-Core Processor
Cores6128
RAM7 GB1007 GB
GPUIntegrated / UnknownGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSUbuntu 22.04.5 LTSRocky Linux 8.10
Archarm64x64
Power Modebalancedunknown
Performance
llama3.1:8b qwen3.8:27b-bf16
Tokens/sec7.827.2
First chunk1625 ms237 ms
TTFT1.6 s237 ms
Load time21.8 s43.8 s
Memory usage5.2 GB68.8 GB
Memory %71%7%
HW Fit Score Breakdown
llama3.1:8b
Speed
26/50
TTFT
20/20
Memory
15/30
qwen3.8:27b-bf16
Speed
27/50
TTFT
20/20
Memory
30/30
Quality
llama3.1:8b
Reasoning
12/20
Coding
10/20
Instruction
4/20
Structured
1/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Weak 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