qwen3.8:27b-bf16
OLLAMA GGUFqwen35 · 27.3B · BF16
Aug 22, 2026 · AMD EPYC 7713 64-Core Processor
liquid/lfm2-24b-a2b
LM-STUDIO MLXlfm2_moe · 24B · 4bit
Apr 1, 2026 · Apple M4
Global Score
85 vs 74
Hardware Fit
77 vs 84
Quality Score
88 vs 69
Hardware
qwen3.8:27b-bf16 liquid/lfm2-24b-a2b
MachineDell Inc. PowerEdge XE8545Mac mini
CPUAMD EPYC 7713 64-Core ProcessorApple M4
Cores12810
RAM1007 GB24 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Apple M4
OSRocky Linux 8.10macOS 26.3
Archx64arm64
Power Modeunknownbalanced
Performance
qwen3.8:27b-bf16 liquid/lfm2-24b-a2b
Tokens/sec27.251.8
First chunk237 ms10 ms
TTFT237 ms503 ms
Load time43.8 sN/A
Memory usage68.8 GB17.5 GB
Memory %7%73%
HW Fit Score Breakdown
qwen3.8:27b-bf16
Speed
27/50
TTFT
20/20
Memory
30/30
liquid/lfm2-24b-a2b
Speed
50/50
TTFT
20/20
Memory
14/30
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
liquid/lfm2-24b-a2b
Reasoning
11/20
Coding
12/20
Instruction
16/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong 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