Back to leaderboard

hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 22, 2026 · Apple M1 Pro

vicuna:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 1, 2026 · Apple M4

Global Score
65 vs 59
Hardware Fit
94 vs 97
Quality Score
52 vs 43

Hardware

hf.co/bartowski/ai… vicuna:7b
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/bartowski/ai… vicuna:7b
Tokens/sec29.623.4
First chunk264 msN/A
TTFT264 ms242 ms
Load time3.8 s0.4 s
Memory usage8.4 GB5.8 GB
Memory %53%18%

HW Fit Score Breakdown

hf.co/bartowski/ai9star…

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

vicuna:7b

Speed
37/50
TTFT
30/20
Memory
30/30

Quality

hf.co/bartowski/ai9star…

Reasoning
17/20
Coding
14/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

vicuna:7b

Reasoning
8/20
Coding
4/20
Instruction
10/20
Structured
12/15
Math
2/15
Multilingual
7/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View hf.co/bartowski/ai… details | View vicuna:7b 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