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LH-Tech AI

LH-Tech-AI

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https://lh-tech.de/ai/

LH-Tech-AI

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Small AI and ML models. Trained by myself. Completely OpenSource. For you. | Reddit: https://www.reddit.com/user/LH-Tech_AI/

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moondream/moondream3-preview

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moondream/moondream3.1-9B-A2B

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SupraLabs/cma-8M

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liked 2 models about 2 hours ago

moondream/moondream3-preview

Image-Text-to-Text • 9B • Updated Apr 9 • 291k • 667

moondream/moondream3.1-9B-A2B

Image-Text-to-Text • 9B • Updated 5 days ago • 1.98k • 25

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SupraLabs/cma-8M

Text Generation • 9.08M • Updated about 1 hour ago • 4

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Gemma Avatar

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Talk to Gemma 4 face to face, with a 3D lip-synced avatar

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nvidia/RE-USE

Audio-to-Audio • 9.61M • Updated May 14 • 11.9k • 84

nvidia/Hymba-1.5B-Instruct

Text Generation • 2B • Updated Jan 2, 2025 • 295 • 245

nvidia/Hymba-1.5B-Base

Text Generation • 2B • Updated Nov 26, 2025 • 152 • 158

BlinkDL/rwkv7-g1

Text Generation • Updated 3 days ago • 5.41k • 195

haykgrigorian/TimeCapsuleLLM-English-1800-1875-v3mini-eval1-500M

Text Generation • 0.5B • Updated 3 days ago • 10

migtissera/Tess-4-27B

Image-Text-to-Text • 28B • Updated 3 days ago • 1.11k • 102

replied to pranavupadhyaya52's post 2 days ago

Nice

reacted to pranavupadhyaya52's post with 🔥 2 days ago

Post

477

Wiki-SmartBotLM Benchmarked. Here are the results:

Benchmark WikiSB | Gemma3_270M
BoolQ 37.8 | 61.4
ARC Challenge 24.2 | 28.2
HellaSwag 26.3 | 37.7
PIQA 53.5 | 66.2
Winogrande 50.2 | 52.3

Summary:
Closest benchmark: Winogrande (2.1-point gap)
Strong performance: ARC Challenge (4.0-point gap)
Moderate gap: HellaSwag and PIQA
Largest gap: BoolQ (Reading Comprehension)

It shows despite the training difference between Gemma3 270M and WikiSmartBotLM, It does come close to Gemma 3 in some benchmarks.

pranavupadhyaya52/Wiki-SmartBotLM-Instruct