rafw007/qwen3.8-27b-redteam:latest
OLLAMA GGUFqwen35 · 27.3B · Q4_K_M
Oct 2, 2026 · Cortex-X925
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
Global Score
59 vs 76
Hardware Fit
62 vs 100
Quality Score
58 vs 66
Hardware
rafw007/qwen3.8-27… hf.co/empero-ai/Qw…
MachineNVIDIA NVIDIA_DGX_SparkMacBook Pro
CPUCortex-X925Apple M1 Pro
Cores2010
RAM122 GB16 GB
GPUDevice 2e12Apple M1 Pro
OSUbuntu 24.04.5 LTSmacOS 26.6.2
Archarm64arm64
Power Modeperformancebalanced
Performance
rafw007/qwen3.8-27… hf.co/empero-ai/Qw…
Tokens/sec12.940.3
First chunk442 ms101 ms
TTFT442 ms101 ms
Load time6.8 s2.7 s
Memory usage19.3 GB4.5 GB
Memory %16%28%
HW Fit Score Breakdown
rafw007/qwen3.8-27b-red…
Speed
12/50
TTFT
20/20
Memory
30/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
rafw007/qwen3.8-27b-red…
Reasoning
18/20
Coding
15/20
Instruction
7/20
Structured
1/15
Math
14/15
Multilingual
3/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
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
Run yours and compare
$
npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest