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qwen3.5-0.8b

LM-STUDIO GGUF

qwen35 · 0.8B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

gemma3n:latest

OLLAMA GGUF

gemma3n · 6.9B · Q4_K_M

Excellent

Mar 6, 2026 · AMD EPYC 9654P 96-Core Processor

Global Score
48 vs 81
Hardware Fit
61 vs 100
Quality Score
42 vs 73

Hardware

qwen3.5-0.8b gemma3n:latest
MachineLENOVO 20BUS00700Supermicro AS -2015HS-TNR
CPUIntel Core™ i5-5300UAMD EPYC 9654P 96-Core Processor
Cores464
RAM16 GB128 GB
GPUIntel(R) HD Graphics 5500GH100 [H100L 94GB], ASPEED Graphics Family, GH100 [H100L 94GB]
OSMicrosoft Windows 10 Professionnel 10.0.19045Ubuntu 24.04.3 LTS
Archx64x64
Power Modebalancedperformance

Performance

qwen3.5-0.8b gemma3n:latest
Tokens/sec6.2108.7
First chunk4461 ms333 ms
TTFT4.5 s333 ms
Load timeN/A4.5 s
Memory usage0.7 GB8.6 GB
Memory %4%7%

HW Fit Score Breakdown

qwen3.5-0.8b

Speed
22/50
TTFT
12/20
Memory
27/30

gemma3n:latest

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

Quality

qwen3.5-0.8b

Reasoning
10/20
Coding
2/20
Instruction
10/20
Structured
12/15
Math
2/15
Multilingual
6/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

gemma3n:latest

Reasoning
14/20
Coding
14/20
Instruction
14/20
Structured
14/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3.5-0.8b details | View gemma3n:latest 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