Back to leaderboard

lmstudio-community/meta-llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q4_K_M

Good

Mar 5, 2026 · Apple M4 Pro

vicuna:13b

OLLAMA GGUF

llama · 13B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score
78 vs 59
Hardware Fit
100 vs 84
Quality Score
69 vs 48

Hardware

lmstudio-community… vicuna:13b
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

lmstudio-community… vicuna:13b
Tokens/sec46.013.4
First chunk245 msN/A
TTFT245 ms438 ms
Load timeN/A0.6 s
Memory usage4.6 GB10.3 GB
Memory %7%32%

HW Fit Score Breakdown

lmstudio-community/meta…

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

vicuna:13b

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

Quality

lmstudio-community/meta…

Reasoning
11/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

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
View lmstudio-community… details | View vicuna:13b 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