hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
qwen2-57b:57B
OLLAMA GGUFqwen2moe · 57.4B · Q4_K_M
Aug 18, 2026 · Intel Core™ i7-14700F
Global Score
76 vs 69
Hardware Fit
100 vs 51
Quality Score
66 vs 76
Hardware
hf.co/empero-ai/Qw… qwen2-57b:57B
MachineMacBook ProHP OMEN 35L VALORANT Limited Edition Gaming Desktop PC
CPUApple M1 ProIntel Core™ i7-14700F
Cores1028
RAM16 GB64 GB
GPUApple M1 ProNVIDIA GeForce RTX 5080
OSmacOS 26.6.2Microsoft Windows 11 Enterprise 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
hf.co/empero-ai/Qw… qwen2-57b:57B
Tokens/sec40.37.7
First chunk101 ms940 ms
TTFT101 ms940 ms
Load time2.7 s0.2 s
Memory usage4.5 GB33.3 GB
Memory %28%52%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen2-57b:57B
Speed
8/50
TTFT
19/20
Memory
24/30
Quality
hf.co/empero-ai/Qwen3.8…
Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate 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
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest