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llama-3.1-8b-instruct

LM-STUDIO GGUF

llama · 8B · Q8_0

Excellent

Apr 26, 2026 · AMD Ryzen 5 5500

gemma4:e4b

OLLAMA GGUF

gemma4 · 8.0B · Q4_K_M

Excellent

Aug 22, 2026 · Apple M1 Pro

Global Score
81 vs 90
Hardware Fit
100 vs 87
Quality Score
73 vs 91

Hardware

llama-3.1-8b-instr… gemma4:e4b
MachineASUSMacBook Pro
CPUAMD Ryzen 5 5500Apple M1 Pro
Cores1210
RAM31 GB16 GB
GPUNavi 44 [Radeon RX 9060 XT]Apple M1 Pro
OSNobara Linux 43macOS 26.6.2
Archx64arm64
Power Modeperformancebalanced

Performance

llama-3.1-8b-instr… gemma4:e4b
Tokens/sec35.635.7
First chunk52 ms661 ms
TTFT256 ms6.5 s
Load timeN/A6.1 s
Memory usage8.6 GB3.1 GB
Memory %28%19%

HW Fit Score Breakdown

llama-3.1-8b-instruct

Speed
50/50
TTFT
20/20
Memory
30/30

gemma4:e4b

Speed
50/50
TTFT
7/20
Memory
30/30

Quality

llama-3.1-8b-instruct

Reasoning
13/20
Coding
17/20
Instruction
13/20
Structured
15/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

gemma4:e4b

Reasoning
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View llama-3.1-8b-instr… details | View gemma4:e4b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest