rafw007/qwen3.8-27b-redteam:latest
OLLAMA GGUFqwen35 · 27.3B · Q4_K_M
Oct 2, 2026 · Cortex-X925
mlx-community/Yi-1.5-6B-Chat-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
Global Score
59 vs 73
Hardware Fit
62 vs 100
Quality Score
58 vs 62
Hardware
rafw007/qwen3.8-27… mlx-community/Yi-1…
MachineNVIDIA NVIDIA_DGX_SparkMacBook Air
CPUCortex-X925Apple M4
Cores2010
RAM122 GB32 GB
GPUDevice 2e12Apple M4
OSUbuntu 24.04.5 LTSmacOS 26.3
Archarm64arm64
Power Modeperformancebalanced
Performance
rafw007/qwen3.8-27… mlx-community/Yi-1…
Tokens/sec12.929.1
First chunk442 ms451 ms
TTFT442 ms451 ms
Load time6.8 sN/A
Memory usage19.3 GB0.9 GB
Memory %16%3%
HW Fit Score Breakdown
rafw007/qwen3.8-27b-red…
Speed
12/50
TTFT
20/20
Memory
30/30
mlx-community/Yi-1.5-6B…
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
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