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qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

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

laguna-xs-2.1

OLLAMA GGUF
Excellent

Aug 1, 2026 · AMD RYZEN AI MAX+ 395

Global Score
85 vs 84
Hardware Fit
77 vs 100
Quality Score
88 vs 77

Hardware

qwen3.8:27b-bf16 laguna-xs-2.1
MachineDell Inc. PowerEdge XE8545AZW GTR Pro
CPUAMD EPYC 7713 64-Core ProcessorAMD RYZEN AI MAX+ 395
Cores12832
RAM1007 GB125 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Radeon 8060S
OSRocky Linux 8.10Ubuntu 24.04.4 LTS
Archx64x64
Power Modeunknownlow-power

Performance

qwen3.8:27b-bf16 laguna-xs-2.1
Tokens/sec27.265.9
First chunk237 ms281 ms
TTFT237 ms281 ms
Load time43.8 s9.9 s
Memory usage68.8 GB30.1 GB
Memory %7%24%

HW Fit Score Breakdown

qwen3.8:27b-bf16

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

laguna-xs-2.1

Speed
50/50
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

laguna-xs-2.1

Reasoning
8/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
11/15
Multilingual
10/10
Reasoning: Weak Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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