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qwen3.8:27b-q8_0

OLLAMA GGUF

qwen35 · 27.3B · Q8_0

Excellent

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

llama3.2:1b

OLLAMA GGUF

llama · 1.2B · Q8_0

Good

Jun 26, 2026 · Cortex-A78AE

Global Score
89 vs 63
Hardware Fit
88 vs 100
Quality Score
89 vs 47

Hardware

qwen3.8:27b-q8_0 llama3.2:1b
MachineDell Inc. PowerEdge XE8545NVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUAMD EPYC 7713 64-Core ProcessorCortex-A78AE
Cores1286
RAM1007 GB7 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Integrated / Unknown
OSRocky Linux 8.10Ubuntu 22.04.5 LTS
Archx64arm64
Power Modeunknownbalanced

Performance

qwen3.8:27b-q8_0 llama3.2:1b
Tokens/sec39.940.2
First chunk192 ms1087 ms
TTFT192 ms1.1 s
Load time19.0 s6.2 s
Memory usage51.0 GB1.4 GB
Memory %5%19%

HW Fit Score Breakdown

qwen3.8:27b-q8_0

Speed
38/50
TTFT
20/20
Memory
30/30

llama3.2:1b

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

Quality

qwen3.8:27b-q8_0

Reasoning
18/20
Coding
19/20
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

llama3.2:1b

Reasoning
4/20
Coding
9/20
Instruction
14/20
Structured
13/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View qwen3.8:27b-q8_0 details | View llama3.2:1b 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