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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

microllm-250m:latest

OLLAMA GGUF

llama · 256.74M · F16

Not Rec.

Jul 5, 2026 · Apple M4 Pro

Global Score
48 vs 34
Hardware Fit
61 vs 100
Quality Score
42 vs 6

Hardware

qwen3.5-0.8b microllm-250m:latest
MachineLENOVO 20BUS00700Mac mini
CPUIntel Core™ i5-5300UApple M4 Pro
Cores412
RAM16 GB24 GB
GPUIntel(R) HD Graphics 5500Apple M4 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.5.2
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3.5-0.8b microllm-250m:latest
Tokens/sec6.2291.6
First chunk4461 ms50 ms
TTFT4.5 s79 ms
Load timeN/A0.0 s
Memory usage0.7 GB0.6 GB
Memory %4%2%

HW Fit Score Breakdown

qwen3.5-0.8b

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

microllm-250m: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

microllm-250m:latest

Reasoning
1/20
Coding
0/20
Instruction
5/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
View qwen3.5-0.8b details | View microllm-250m: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