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qwen2.5-0.5b-instruct

LM-STUDIO GGUF

qwen2 · 0.5B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

Global Score
53 vs 76
Hardware Fit
89 vs 73
Quality Score
38 vs 77

Hardware

qwen2.5-0.5b-instr… glm-4.7-flash:bf16
MachineLENOVO 20BUS00700NVIDIA NVIDIA_DGX_Spark
CPUIntel Core™ i5-5300UCortex-X925
Cores420
RAM16 GB122 GB
GPUIntel(R) HD Graphics 5500Device 2e12
OSMicrosoft Windows 10 Professionnel 10.0.19045Ubuntu 24.04.4 LTS
Archx64arm64
Power Modebalancedperformance

Performance

qwen2.5-0.5b-instr… glm-4.7-flash:bf16
Tokens/sec13.225.8
First chunk1339 ms605 ms
TTFT1.3 s605 ms
Load timeN/A44.2 s
Memory usage0.4 GB57.0 GB
Memory %2%47%

HW Fit Score Breakdown

qwen2.5-0.5b-instruct

Speed
41/50
TTFT
20/20
Memory
28/30

glm-4.7-flash:bf16

Speed
27/50
TTFT
20/20
Memory
26/30

Quality

qwen2.5-0.5b-instruct

Reasoning
5/20
Coding
4/20
Instruction
10/20
Structured
11/15
Math
3/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

glm-4.7-flash:bf16

Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen2.5-0.5b-instr… details | View glm-4.7-flash:bf16 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