hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16
OLLAMA GGUFllama · 2.99B · BF16
Aug 23, 2026 · Apple M1 Pro
smollm2-1.7b-instruct
LM-STUDIO MLXllama · 1.7B · bf16
Mar 4, 2026 · Apple M4
Global Score
64 vs 65
Hardware Fit
92 vs 99
Quality Score
52 vs 51
Hardware
hf.co/bartowski/ai… smollm2-1.7b-instr…
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… smollm2-1.7b-instr…
Tokens/sec29.928.5
First chunk100 ms393 ms
TTFT100 ms393 ms
Load time3.4 sN/A
Memory usage8.9 GB3.2 GB
Memory %56%10%
HW Fit Score Breakdown
hf.co/bartowski/ai9star…
Speed
50/50
TTFT
20/20
Memory
22/30
smollm2-1.7b-instruct
Speed
50/50
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
smollm2-1.7b-instruct
Reasoning
10/20
Coding
10/20
Instruction
13/20
Structured
11/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
Run yours and compare
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest