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qwen3.8:27b-bf16

OLLAMA GGUF

qwen35 · 27.3B · BF16

Excellent

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

hf.co/LiquidAI/LFM2.5-2.6B-GGUF:F16

OLLAMA GGUF

lfm2 · 2.7B · unknown

Good

Aug 23, 2026 · Apple M1 Pro

Global Score
85 vs 61
Hardware Fit
77 vs 97
Quality Score
88 vs 46

Hardware

qwen3.8:27b-bf16 hf.co/LiquidAI/LFM…
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/LiquidAI/LFM…
Tokens/sec27.231.4
First chunk237 ms138 ms
TTFT237 ms138 ms
Load time43.8 s3.7 s
Memory usage68.8 GB6.6 GB
Memory %7%41%

HW Fit Score Breakdown

qwen3.8:27b-bf16

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

hf.co/LiquidAI/LFM2.5-2…

Speed
50/50
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

hf.co/LiquidAI/LFM2.5-2…

Reasoning
14/20
Coding
13/20
Instruction
3/20
Structured
0/15
Math
14/15
Multilingual
2/10
Reasoning: Adequate Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor

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