mlx-community/meta-llama-3.1-8b-instruct
LM-STUDIO MLXllama · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
qwen2-57b:57B
OLLAMA GGUFqwen2moe · 57.4B · Q4_K_M
Aug 18, 2026 · Intel Core™ i7-14700F
Global Score
77 vs 69
Hardware Fit
100 vs 51
Quality Score
67 vs 76
Hardware
mlx-community/meta… qwen2-57b:57B
MachineMac miniHP OMEN 35L VALORANT Limited Edition Gaming Desktop PC
CPUApple M4 ProIntel Core™ i7-14700F
Cores1428
RAM64 GB64 GB
GPUApple M4 ProNVIDIA GeForce RTX 5080
OSmacOS 15.7.4Microsoft Windows 11 Enterprise 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
mlx-community/meta… qwen2-57b:57B
Tokens/sec54.37.7
First chunk277 ms940 ms
TTFT277 ms940 ms
Load timeN/A0.2 s
Memory usage4.2 GB33.3 GB
Memory %7%52%
HW Fit Score Breakdown
mlx-community/meta-llam…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen2-57b:57B
Speed
8/50
TTFT
19/20
Memory
24/30
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
qwen2-57b:57B
Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest