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hf.co/unsloth/Qwen3.8-27B-GGUF:UD-IQ1_S

OLLAMA GGUF

qwen35 · 27.3B · unknown

Marginal

Aug 25, 2026 · Apple M1 Pro

llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

Global Score
46 vs 81
Hardware Fit
50 vs 100
Quality Score
44 vs 73

Hardware

hf.co/unsloth/Qwen… llama-3.1-8b-instr…
MachineMacBook ProASUS
CPUApple M1 ProAMD Ryzen 5 5500
Cores1012
RAM16 GB31 GB
GPUApple M1 ProNavi 44 [Radeon RX 9060 XT]
OSmacOS 26.6.2Nobara Linux 43
Archarm64x64
Power Modebalancedperformance

Performance

hf.co/unsloth/Qwen… llama-3.1-8b-instr…
Tokens/sec6.035.6
First chunk2377 ms52 ms
TTFT2.2 s256 ms
Load time6.8 sN/A
Memory usage10.6 GB8.6 GB
Memory %66%28%

HW Fit Score Breakdown

hf.co/unsloth/Qwen3.8-2…

Speed
15/50
TTFT
18/20
Memory
17/30

llama-3.1-8b-instruct

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

Quality

hf.co/unsloth/Qwen3.8-2…

Reasoning
8/20
Coding
5/20
Instruction
10/20
Structured
11/15
Math
3/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate

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

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