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meta-llama-3.1-8b-instruct

llama · 8B · 4bit

Good

Mar 3, 2026 · Apple M4

stablelm2:1.6b

stablelm · 2B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

Global Score
76 vs 45
Hardware Fit
95 vs 100
Quality Score
68 vs 22

Hardware

meta-llama-3.1-8b-… stablelm2:1.6b
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-… stablelm2:1.6b
Tokens/sec21.693.8
TTFT512 ms94 ms
Load time0.0 s0.4 s
Memory usage0.0 GB1.1 GB
Memory %0%3%

HW Fit Score Breakdown

meta-llama-3.1-8b-instr…

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

stablelm2:1.6b

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

stablelm2:1.6b

Reasoning
4/20
Coding
7/20
Instruction
6/20
Structured
1/15
Math
2/15
Multilingual
2/10
Reasoning: Poor Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
View meta-llama-3.1-8b-… details | View stablelm2:1.6b details

Run yours and compare

npx metrillm@latest bench

Requires Node 20+ and Ollama or LM Studio running