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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

google/gemma-4-26b-a4b-it-qat

LM-STUDIO GGUF

gemma4 · 26B · Q4_0

Excellent

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
48 vs 82
Hardware Fit
61 vs 56
Quality Score
42 vs 93

Hardware

qwen3.5-0.8b google/gemma-4-26b…
MachineLENOVO 20BUS00700Docker Container
CPUIntel Core™ i5-5300UIntel Gen Intel® Core™ i9-11900H
Cores416
RAM16 GB15 GB
GPUIntel(R) HD Graphics 5500TigerLake-H GT1 [UHD Graphics]
OSMicrosoft Windows 10 Professionnel 10.0.19045Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

qwen3.5-0.8b google/gemma-4-26b…
Tokens/sec6.212.0
First chunk4461 ms86 ms
TTFT4.5 s2.8 s
Load timeN/A57.2 s
Memory usage0.7 GB9.1 GB
Memory %4%59%

HW Fit Score Breakdown

qwen3.5-0.8b

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

google/gemma-4-26b-a4b-…

Speed
22/50
TTFT
14/20
Memory
20/30

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

google/gemma-4-26b-a4b-…

Reasoning
17/20
Coding
19/20
Instruction
20/20
Structured
14/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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