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meta-llama-3.1-8b-instruct

llama · 8B · 4bit

Good

Mar 3, 2026 · Apple M4

tinyllama:1.1b

llama · 1B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

Global Score
76 vs 43
Hardware Fit
95 vs 100
Quality Score
68 vs 19

Hardware

meta-llama-3.1-8b-… tinyllama:1.1b
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-… tinyllama:1.1b
Tokens/sec21.6121.0
TTFT512 ms82 ms
Load time0.0 s0.4 s
Memory usage0.0 GB0.7 GB
Memory %0%2%

HW Fit Score Breakdown

meta-llama-3.1-8b-instr…

Speed
35/40
TTFT
30/30
Memory
30/30

tinyllama:1.1b

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

tinyllama:1.1b

Reasoning
2/20
Coding
1/20
Instruction
6/20
Structured
7/15
Math
0/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Weak

Run yours and compare

npx metrillm@latest bench

Requires Node 20+ and Ollama or LM Studio running