qwen2.5-0.5b-instruct
LM-STUDIO GGUFqwen2 · 0.5B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 22, 2026 · Apple M1 Pro
Global Score
53 vs 66
Hardware Fit
89 vs 100
Quality Score
38 vs 52
Hardware
qwen2.5-0.5b-instr… hf.co/empero-ai/Qw…
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M1 Pro
Cores410
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500Apple M1 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5-0.5b-instr… hf.co/empero-ai/Qw…
Tokens/sec13.240.2
First chunk1339 ms325 ms
TTFT1.3 s325 ms
Load timeN/A3.1 s
Memory usage0.4 GB4.7 GB
Memory %2%30%
HW Fit Score Breakdown
qwen2.5-0.5b-instruct
Speed
41/50
TTFT
20/20
Memory
28/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
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
hf.co/empero-ai/Qwen3.8…
Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
Run yours and compare
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest