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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

qwen3.8:27b-q8_0

OLLAMA GGUF

qwen35 · 27.3B · Q8_0

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

Global Score
48 vs 89
Hardware Fit
61 vs 88
Quality Score
42 vs 89

Hardware

qwen3.5-0.8b qwen3.8:27b-q8_0
MachineLENOVO 20BUS00700Dell Inc. PowerEdge XE8545
CPUIntel Core™ i5-5300UAMD EPYC 7713 64-Core Processor
Cores4128
RAM16 GB1007 GB
GPUIntel(R) HD Graphics 5500GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSMicrosoft Windows 10 Professionnel 10.0.19045Rocky Linux 8.10
Archx64x64
Power Modebalancedunknown

Performance

qwen3.5-0.8b qwen3.8:27b-q8_0
Tokens/sec6.240.0
First chunk4461 ms177 ms
TTFT4.5 s177 ms
Load timeN/A24.7 s
Memory usage0.7 GB51.0 GB
Memory %4%5%

HW Fit Score Breakdown

qwen3.5-0.8b

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

qwen3.8:27b-q8_0

Speed
38/50
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

qwen3.8:27b-q8_0

Reasoning
18/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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