mohammed arbi

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updated a model 7 days ago

Goodnight7/mhqa-cross-encoder-reranker-large

0.6B • Updated 7 days ago • 360

published a model 7 days ago

Goodnight7/mhqa-cross-encoder-reranker-large

0.6B • Updated 7 days ago • 360

updated a model 7 days ago

Goodnight7/mhqa-byt5-gen

0.6B • Updated 7 days ago • 14

published a model 7 days ago

Goodnight7/mhqa-byt5-gen

0.6B • Updated 7 days ago • 14

updated a model 7 days ago

Goodnight7/mhqa-mt5-gen

0.6B • Updated 7 days ago • 15

published a model 7 days ago

Goodnight7/mhqa-mt5-gen

0.6B • Updated 7 days ago • 15

updated a model 7 days ago

Goodnight7/mhqa-cross-encoder-reranker-v2

Text Classification • 0.3B • Updated 7 days ago • 738

published a model 7 days ago

Goodnight7/mhqa-cross-encoder-reranker-v2

Text Classification • 0.3B • Updated 7 days ago • 738

liked a model 13 days ago

FacebookAI/xlm-roberta-base

Fill-Mask • 0.3B • Updated Feb 19, 2024 • 21.1M • • 852

updated a model 13 days ago

Goodnight7/mhqa-cross-encoder-reranker

Text Classification • 0.3B • Updated 13 days ago • 2.94k

published a model 13 days ago

Goodnight7/mhqa-cross-encoder-reranker

Text Classification • 0.3B • Updated 13 days ago • 2.94k

liked a dataset about 1 month ago

Qdrant/dbpedia-entities-openai3-text-embedding-3-large-1536-1M

Viewer • Updated Feb 9, 2024 • 1M • 725 • 13

updated a dataset about 2 months ago

Goodnight7/iris-dvc

Viewer • Updated Jan 2 • 151 • 7

published a dataset about 2 months ago

Goodnight7/iris-dvc

Viewer • Updated Jan 2 • 151 • 7

liked a Space about 2 months ago

Running

191

The ultimate guide to RL environments: building and scaling them in the LLM era

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191

Building and scaling RL environments for LLM training

liked a model 2 months ago

RightNowAI/RightNow-Arabic-0.5B-Turbo

Text Generation • 0.5B • Updated Apr 10 • 217 • 3

upvoted an article 2 months ago

view article

Article

Building a Fast Multilingual OCR Model with Synthetic Data

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nvidia

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Apr 17

• 33

liked a model 3 months ago

google/gemma-4-31B-it

Image-Text-to-Text • 33B • Updated 20 days ago • 11.3M • • 3.05k

reacted to danielhanchen's post with 🔥 3 months ago

view post

Post

5545

You can now fine-tune Gemma 4 for free with our notebooks! 🔥

You just need 8GB VRAM to train Gemma 4 locally!

Unsloth trains Gemma4 1.5x faster with 50% less VRAM.
GitHub: https://github.com/unslothai/unsloth
Guide + Notebooks: https://unsloth.ai/docs/models/gemma-4/train

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updated a model 3 months ago

Goodnight7/unsloth_finetune

Image-Text-to-Text • Updated Apr 7 • 3