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mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

hf.co/unsloth/gemma-4-E4B-it-GGUF:Q4_K_M

OLLAMA GGUF

gemma4 · 7.52B · unknown

Excellent

Aug 24, 2026 · Apple M1 Pro

Global Score
77 vs 87
Hardware Fit
100 vs 100
Quality Score
67 vs 82

Hardware

mlx-community/meta… hf.co/unsloth/gemm…
MachineMac miniMacBook Pro
CPUApple M4 ProApple M1 Pro
Cores1410
RAM64 GB16 GB
GPUApple M4 ProApple M1 Pro
OSmacOS 15.7.4macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

mlx-community/meta… hf.co/unsloth/gemm…
Tokens/sec54.335.0
First chunk277 ms204 ms
TTFT277 ms204 ms
Load timeN/A3.9 s
Memory usage4.2 GB4.9 GB
Memory %7%31%

HW Fit Score Breakdown

mlx-community/meta-llam…

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

hf.co/unsloth/gemma-4-E…

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

Quality

mlx-community/meta-llam…

Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

hf.co/unsloth/gemma-4-E…

Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View mlx-community/meta… details | View hf.co/unsloth/gemm… 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