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smollm2-360m-instruct

LM-STUDIO GGUF

llama · 360M · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

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

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 26, 2026 · Apple M1 Pro

Global Score
48 vs 66
Hardware Fit
98 vs 100
Quality Score
26 vs 52

Hardware

smollm2-360m-instr… hf.co/empero-ai/Qw…
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M1 Pro
Cores410
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500Apple M1 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced

Performance

smollm2-360m-instr… hf.co/empero-ai/Qw…
Tokens/sec20.040.2
First chunk1116 ms101 ms
TTFT1.1 s101 ms
Load timeN/A2.6 s
Memory usage0.3 GB4.7 GB
Memory %2%30%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed
50/50
TTFT
20/20
Memory
28/30

hf.co/empero-ai/Qwen3.8…

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

Quality

smollm2-360m-instruct

Reasoning
3/20
Coding
1/20
Instruction
8/20
Structured
8/15
Math
3/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Poor Multilingual: Weak

hf.co/empero-ai/Qwen3.8…

Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak

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