mesh.applied | Task-specialized open models for your inference needs

M meshapplied.com ↗

▲ 15 points • 13 comments • by Ir0n • 3w ago • HN discussion ↗

Pangram verdict · v3.3

We believe that this entire text is human-written.

0 %

AI likelihood · overall

Human

100% human-written 0% AI-generated

SEGMENTS · HUMAN 1 of 1

SEGMENTS · AI 0 of 1

WORD COUNT 66

PEAK AI % 0% · §1

Analyzed

Oct 13

backend: pangram/v3.3

Segments scanned

1 windows

avg 66 words each

Distribution

100 / 0%

human / AI fraction

Verdict

Human

Pangram v3.3

Article text · 66 words · 1 segments analyzed

Human AI-generated

§1 Human · 0%

Task-specialized open models for your inference needs.We take the latest open source models, and through a series of post-training, quantization and kernel specialization techniques, we make them run fast on local hardware.DeepSeek-V4.1-Flash-Ternary- Recommended hardware: 4x RTX6000- 4 users, 276 tok/sec aggregate- for complex coding and researchQwen3.8-Flash-Next-NVFP4- Recommended hardware: 1x RTX6000- 4 users, 334 tok/sec aggregate- for coding and everyday taskswith the Goethe framework:~ git clone https://github.com/meshapplied/goethe.git