qwen3.8:27b-bf16
OLLAMA GGUFqwen35 · 27.3B · BF16
Aug 22, 2026 · AMD EPYC 7713 64-Core Processor
hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16
OLLAMA GGUFllama · 2.99B · BF16
Aug 23, 2026 · Apple M1 Pro
Global Score
85 vs 64
Hardware Fit
77 vs 92
Quality Score
88 vs 52
Hardware
qwen3.8:27b-bf16 hf.co/bartowski/ai…
MachineDell Inc. PowerEdge XE8545MacBook Pro
CPUAMD EPYC 7713 64-Core ProcessorApple M1 Pro
Cores12810
RAM1007 GB16 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Apple M1 Pro
OSRocky Linux 8.10macOS 26.6.2
Archx64arm64
Power Modeunknownbalanced
Performance
qwen3.8:27b-bf16 hf.co/bartowski/ai…
Tokens/sec27.229.9
First chunk237 ms100 ms
TTFT237 ms100 ms
Load time43.8 s3.4 s
Memory usage68.8 GB8.9 GB
Memory %7%56%
HW Fit Score Breakdown
qwen3.8:27b-bf16
Speed
27/50
TTFT
20/20
Memory
30/30
hf.co/bartowski/ai9star…
Speed
50/50
TTFT
20/20
Memory
22/30
Quality
qwen3.8:27b-bf16
Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
hf.co/bartowski/ai9star…
Reasoning
17/20
Coding
14/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
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