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

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 26, 2026 · Apple M1 Pro

qwen2.5-7b-instruct

LM-STUDIO MLX

qwen2 · 7B · 4bit

Excellent

Mar 3, 2026 · Apple M4

Global Score
64 vs 82
Hardware Fit
92 vs 92
Quality Score
52 vs 78

Hardware

hf.co/bartowski/ai… qwen2.5-7b-instruct
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… qwen2.5-7b-instruct
Tokens/sec29.922.0
First chunk108 ms477 ms
TTFT108 ms477 ms
Load time3.4 sN/A
Memory usage8.9 GB4.0 GB
Memory %56%13%

HW Fit Score Breakdown

hf.co/bartowski/ai9star…

Speed
50/50
TTFT
20/20
Memory
22/30

qwen2.5-7b-instruct

Speed
43/50
TTFT
20/20
Memory
29/30

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

qwen2.5-7b-instruct

Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View hf.co/bartowski/ai… details | View qwen2.5-7b-instruct details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest