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qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

phi4:14b

OLLAMA GGUF

phi3 · 14.7B · Q4_K_M

Good

Jun 26, 2026 · Cortex-X925

Global Score
85 vs 77
Hardware Fit
77 vs 74
Quality Score
88 vs 78

Hardware

qwen3.8:27b-bf16 phi4:14b
MachineDell Inc. PowerEdge XE8545NVIDIA NVIDIA_DGX_Spark
CPUAMD EPYC 7713 64-Core ProcessorCortex-X925
Cores12820
RAM1007 GB122 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Device 2e12
OSRocky Linux 8.10Ubuntu 24.04.4 LTS
Archx64arm64
Power Modeunknownperformance

Performance

qwen3.8:27b-bf16 phi4:14b
Tokens/sec27.222.9
First chunk237 ms198 ms
TTFT237 ms198 ms
Load time43.8 s10.3 s
Memory usage68.8 GB14.7 GB
Memory %7%12%

HW Fit Score Breakdown

qwen3.8:27b-bf16

Speed
27/50
TTFT
20/20
Memory
30/30

phi4:14b

Speed
24/50
TTFT
20/20
Memory
30/30

Quality

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

phi4:14b

Reasoning
18/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
7/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3.8:27b-bf16 details | View phi4:14b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest