meta-llama-3.1-8b-instruct
llama · 8B · 4bit
Mar 3, 2026 · Apple M4
deepseek-coder:6.7b
llama · 7B · Q4_0
Mar 2, 2026 · Apple M4
Global Score
76 vs 57
Hardware Fit
95 vs 98
Quality Score
68 vs 39
Hardware
meta-llama-3.1-8b-… deepseek-coder:6.7b
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-… deepseek-coder:6.7b
Tokens/sec21.624.1
TTFT512 ms251 ms
Load time0.0 s0.9 s
Memory usage0.0 GB12.6 GB
Memory %0%39%
HW Fit Score Breakdown
meta-llama-3.1-8b-instr…
Speed
35/40
TTFT
30/30
Memory
30/30
deepseek-coder:6.7b
Speed
38/40
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
deepseek-coder:6.7b
Reasoning
4/20
Coding
14/20
Instruction
9/20
Structured
6/15
Math
1/15
Multilingual
5/10
Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Weak
Run yours and compare
npx metrillm@latest benchRequires Node 20+ and Ollama or LM Studio running