Back to leaderboard

qwen2.5-0.5b-instruct

LM-STUDIO GGUF

qwen2 · 0.5B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
53 vs 72
Hardware Fit
89 vs 77
Quality Score
38 vs 70

Hardware

qwen2.5-0.5b-instr… llama3.1:8b
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… llama3.1:8b
Tokens/sec13.221.5
First chunk1339 ms368 ms
TTFT1.3 s368 ms
Load timeN/A6.9 s
Memory usage0.4 GB12.9 GB
Memory %2%81%

HW Fit Score Breakdown

qwen2.5-0.5b-instruct

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

llama3.1:8b

Speed
47/50
TTFT
20/20
Memory
10/30

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

llama3.1:8b

Reasoning
12/20
Coding
18/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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