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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

mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score
53 vs 77
Hardware Fit
89 vs 100
Quality Score
38 vs 67

Hardware

qwen2.5-0.5b-instr… mlx-community/meta…
MachineLENOVO 20BUS00700Mac mini
CPUIntel Core™ i5-5300UApple M4 Pro
Cores414
RAM16 GB64 GB
GPUIntel(R) HD Graphics 5500Apple M4 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5-0.5b-instr… mlx-community/meta…
Tokens/sec13.254.3
First chunk1339 ms277 ms
TTFT1.3 s277 ms
Load timeN/AN/A
Memory usage0.4 GB4.2 GB
Memory %2%7%

HW Fit Score Breakdown

qwen2.5-0.5b-instruct

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

mlx-community/meta-llam…

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

mlx-community/meta-llam…

Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View qwen2.5-0.5b-instr… details | View mlx-community/meta… 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