meta-llama-3.1-8b-instruct
llama · 8B · 4bit
Mar 3, 2026 · Apple M4
llama2:13b
llama · 13B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
76 vs 56
Hardware Fit
95 vs 84
Quality Score
68 vs 44
Hardware
meta-llama-3.1-8b-… llama2:13b
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-… llama2:13b
Tokens/sec21.613.5
TTFT512 ms415 ms
Load time0.0 s0.6 s
Memory usage0.0 GB10.3 GB
Memory %0%32%
HW Fit Score Breakdown
meta-llama-3.1-8b-instr…
Speed
35/40
TTFT
30/30
Memory
30/30
llama2:13b
Speed
24/40
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
llama2:13b
Reasoning
9/20
Coding
3/20
Instruction
13/20
Structured
7/15
Math
3/15
Multilingual
9/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor Multilingual: Strong
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running