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vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

Global Score
59 vs 81
Hardware Fit
84 vs 100
Quality Score
48 vs 73

Hardware

vicuna:13b llama-3.1-8b-instr…
MachineMacBook AirASUS
CPUApple M4AMD Ryzen 5 5500
Cores1012
RAM32 GB31 GB
GPUApple M4Navi 44 [Radeon RX 9060 XT]
OSmacOS 26.3Nobara Linux 43
Archarm64x64
Power Modebalancedperformance

Performance

vicuna:13b llama-3.1-8b-instr…
Tokens/sec13.435.6
First chunkN/A52 ms
TTFT438 ms256 ms
Load time0.6 sN/A
Memory usage10.3 GB8.6 GB
Memory %32%28%

HW Fit Score Breakdown

vicuna:13b

Speed
24/50
TTFT
30/20
Memory
30/30

llama-3.1-8b-instruct

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

Quality

vicuna:13b

Reasoning
7/20
Coding
5/20
Instruction
12/20
Structured
13/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor 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 vicuna:13b 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