qwen2-57b:57B
OLLAMA GGUFqwen2moe · 57.4B · Q4_K_M
Aug 18, 2026 · Intel Core™ Ultra X7 358H
mlx-community/Yi-1.5-6B-Chat-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
Global Score
67 vs 73
Hardware Fit
51 vs 100
Quality Score
74 vs 62
Hardware
qwen2-57b:57B mlx-community/Yi-1…
MachineGMKtec NucBox EVO-T2SMacBook Air
CPUIntel Core™ Ultra X7 358HApple M4
Cores1610
RAM64 GB32 GB
GPUIntel(R) Arc(TM) B390 GPUApple M4
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2-57b:57B mlx-community/Yi-1…
Tokens/sec8.629.1
First chunk1573 ms451 ms
TTFT1.6 s451 ms
Load time29.0 sN/A
Memory usage32.8 GB0.9 GB
Memory %52%3%
HW Fit Score Breakdown
qwen2-57b:57B
Speed
10/50
TTFT
17/20
Memory
24/30
mlx-community/Yi-1.5-6B…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen2-57b:57B
Reasoning
13/20
Coding
14/20
Instruction
15/20
Structured
14/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
mlx-community/Yi-1.5-6B…
Reasoning
10/20
Coding
11/20
Instruction
13/20
Structured
13/15
Math
9/15
Multilingual
6/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Adequate
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