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qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

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

qwen2.5-1.5b-instruct

LM-STUDIO GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score
85 vs 61
Hardware Fit
77 vs 69
Quality Score
88 vs 58

Hardware

qwen3.8:27b-bf16 qwen2.5-1.5b-instr…
MachineDell Inc. PowerEdge XE8545LENOVO 20BUS00700
CPUAMD EPYC 7713 64-Core ProcessorIntel Core™ i5-5300U
Cores1284
RAM1007 GB16 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Intel(R) HD Graphics 5500
OSRocky Linux 8.10Microsoft Windows 10 Professionnel 10.0.19045
Archx64x64
Power Modeunknownbalanced

Performance

qwen3.8:27b-bf16 qwen2.5-1.5b-instr…
Tokens/sec27.26.6
First chunk237 ms2277 ms
TTFT237 ms2.3 s
Load time43.8 sN/A
Memory usage68.8 GB0.9 GB
Memory %7%6%

HW Fit Score Breakdown

qwen3.8:27b-bf16

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

qwen2.5-1.5b-instruct

Speed
23/50
TTFT
19/20
Memory
27/30

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

qwen2.5-1.5b-instruct

Reasoning
9/20
Coding
9/20
Instruction
13/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3.8:27b-bf16 details | View qwen2.5-1.5b-instr… details

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