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qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

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

llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

Global Score
85 vs 81
Hardware Fit
77 vs 100
Quality Score
88 vs 73

Hardware

qwen3.8:27b-bf16 llama-3.1-8b-instr…
MachineDell Inc. PowerEdge XE8545ASUS
CPUAMD EPYC 7713 64-Core ProcessorAMD Ryzen 5 5500
Cores12812
RAM1007 GB31 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Navi 44 [Radeon RX 9060 XT]
OSRocky Linux 8.10Nobara Linux 43
Archx64x64
Power Modeunknownperformance

Performance

qwen3.8:27b-bf16 llama-3.1-8b-instr…
Tokens/sec27.235.6
First chunk237 ms52 ms
TTFT237 ms256 ms
Load time43.8 sN/A
Memory usage68.8 GB8.6 GB
Memory %7%28%

HW Fit Score Breakdown

qwen3.8:27b-bf16

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

llama-3.1-8b-instruct

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

llama-3.1-8b-instruct

Reasoning
13/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3.8:27b-bf16 details | View llama-3.1-8b-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