Fedor Lapshin

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FedorLap2006

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liked a model about 1 month ago

microsoft/UserLM-8b

upvoted a paper about 1 month ago

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

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ggml-org/gemma-3-4b-it-GGUF

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liked a model about 1 month ago

microsoft/UserLM-8b

Text Generation • 8B • Updated Jun 9 • 1.62k • • 380

upvoted a paper about 1 month ago

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Paper • 2303.16199 • Published Mar 28, 2023 • 5

liked a model about 1 month ago

ggml-org/gemma-3-4b-it-GGUF

Image-Text-to-Text • 4B • Updated May 21, 2025 • 77.1k • 56

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disi-unibo-nlp/SciLay

Viewer • Updated May 20, 2024 • 87.6k • 310 • 2

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lastmass/Qwen3_Medical_GRPO

Text Generation • 4B • Updated Sep 1, 2025 • 140 • 20

joeddav/xlm-roberta-large-xnli

Zero-Shot Classification • 0.6B • Updated Oct 16, 2024 • 330k • • 291

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deepvk/ru-HNP

Viewer • Updated Jun 10, 2024 • 103k • 116 • 11

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deepvk/USER2-base

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deepvk/ru-WANLI

Viewer • Updated Jun 10, 2024 • 107k • 124 • 8

ZeroAgency/ru-big-russian-dataset

Viewer • Updated Apr 18, 2025 • 1.73M • 1.16k • 20

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Alibaba-NLP/gte-large-en-v1.5

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cointegrated/rubert-base-cased-nli-threeway

Zero-Shot Classification • 0.2B • Updated Apr 5, 2024 • 10.6k • • 38

RefalMachine/ruadapt_qwen2.5_3B_ext_u48_instruct_v4

Text Generation • 3B • Updated Dec 31, 2024 • 594 • • 31

reacted to danielhanchen's post with 🔥 3 months ago

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Google releases Gemma 4. ✨
Gemma 4 introduces 4 models: E2B, E4B, 26B-A4B, 31B.
The multimodal reasoning models are under Apache 2.0.

Run E2B and E4B on ~6GB RAM, and on phones. Run 26B-A4B and 31B on ~18GB.

GGUFs: https://huggingface.co/collections/unsloth/gemma-4
Guide: https://unsloth.ai/docs/models/gemma-4