meta-llama-3.1-8b-instruct
llama · 8B · 4bit
Mar 3, 2026 · Apple M4
qwen2.5:0.5b
qwen2 · 494.03M · Q4_K_M
Mar 2, 2026 · Apple M4
Global Score
76 vs 57
Hardware Fit
95 vs 100
Quality Score
68 vs 39
Hardware
meta-llama-3.1-8b-… qwen2.5:0.5b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
meta-llama-3.1-8b-… qwen2.5:0.5b
Tokens/sec21.6165.0
TTFT512 ms81 ms
Load time0.0 s0.5 s
Memory usage0.0 GB1.7 GB
Memory %0%5%
HW Fit Score Breakdown
meta-llama-3.1-8b-instr…
Speed
35/40
TTFT
30/30
Memory
30/30
qwen2.5:0.5b
Speed
40/40
TTFT
30/30
Memory
30/30
Quality
meta-llama-3.1-8b-instr…
Reasoning
11/20
Coding
15/20
Instruction
14/20
Structured
14/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
qwen2.5:0.5b
Reasoning
6/20
Coding
6/20
Instruction
7/20
Structured
11/15
Math
5/15
Multilingual
4/10
Reasoning: Weak Coding: Weak Instruction Following: Weak Structured Output: Adequate Math: Weak Multilingual: Weak
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running