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qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
85 vs 83
Hardware Fit
77 vs 96
Quality Score
88 vs 78

Hardware

qwen3.8:27b-bf16 google/gemma-4-e4b
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 google/gemma-4-e4b
Tokens/sec27.235.9
First chunk237 ms9 ms
TTFT237 ms182 ms
Load time43.8 sN/A
Memory usage68.8 GB6.5 GB
Memory %7%43%

HW Fit Score Breakdown

qwen3.8:27b-bf16

Speed
27/50
TTFT
20/20
Memory
30/30

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

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

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View qwen3.8:27b-bf16 details | View google/gemma-4-e4b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest