qwen3.8:27b-bf16
OLLAMA GGUFqwen35 · 27.3B · BF16
Aug 22, 2026 · AMD EPYC 7713 64-Core Processor
prism-ml/bonsai-27b
LM-STUDIO GGUFqwen35 · 27B · Q1_0
Sep 20, 2026 · AMD Ryzen 9 8940HX
Global Score
85 vs 81
Hardware Fit
77 vs 95
Quality Score
88 vs 75
Hardware
qwen3.8:27b-bf16 prism-ml/bonsai-27b
MachineDell Inc. PowerEdge XE8545ASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUAMD EPYC 7713 64-Core ProcessorAMD Ryzen 9 8940HX
Cores12832
RAM1007 GB15 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]NVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSRocky Linux 8.10Microsoft Windows 11 Home Single Language 10.0.26200
Archx64x64
Power Modeunknownbalanced
Performance
qwen3.8:27b-bf16 prism-ml/bonsai-27b
Tokens/sec27.233.6
First chunk237 ms20 ms
TTFT237 ms409 ms
Load time43.8 sN/A
Memory usage68.8 GB5.3 GB
Memory %7%35%
HW Fit Score Breakdown
qwen3.8:27b-bf16
Speed
27/50
TTFT
20/20
Memory
30/30
prism-ml/bonsai-27b
Speed
46/50
TTFT
20/20
Memory
29/30
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
prism-ml/bonsai-27b
Reasoning
17/20
Coding
13/20
Instruction
13/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
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