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llama3.2:1b

OLLAMA GGUF

llama · 1.2B · Q8_0

Good

Mar 5, 2026 · AMD Ryzen 9 8945HS

hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
62 vs 76
Hardware Fit
91 vs 100
Quality Score
50 vs 66

Hardware

llama3.2:1b hf.co/empero-ai/Qw…
MachineASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UV_GA403UVMacBook Pro
CPUAMD Ryzen 9 8945HSApple M1 Pro
Cores1610
RAM15 GB16 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPU, AMD Radeon 780M GraphicsApple M1 Pro
OSMicrosoft Windows 11 Home 10.0.26200macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced

Performance

llama3.2:1b hf.co/empero-ai/Qw…
Tokens/sec170.240.3
First chunk142 ms101 ms
TTFT142 ms101 ms
Load time3.2 s2.7 s
Memory usage1.6 GB4.5 GB
Memory %11%28%

HW Fit Score Breakdown

llama3.2:1b

Speed
50/50
TTFT
20/20
Memory
21/30

hf.co/empero-ai/Qwen3.8…

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

Quality

llama3.2:1b

Reasoning
4/20
Coding
13/20
Instruction
14/20
Structured
13/15
Math
0/15
Multilingual
6/10
Reasoning: Poor Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

hf.co/empero-ai/Qwen3.8…

Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

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