Ahmed Benalal

jqop

AI & ML interests

Deep learning

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reacted to WhyHow's post with 👍 2 days ago

Excited to announce PatientSeek (https://huggingface.co./whyhow-ai/PatientSeek), the first open-source fine-tuned DeepSeek reasoning model for the MED-LEGAL space, designed to run securely and privately on local systems, and trained on one of the largest accessible datasets of patient records. It is purpose-built for MED-LEGAL workflows, focusing on disease and diagnosis identification and correlation reasoning—critical tasks that require the intersection of healthcare and legal expertise.

upvoted a collection 2 days ago

Qwen2.5-VL

updated a model 10 days ago

jqop/unigram_tokenizer

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reacted to WhyHow's post with 👍 2 days ago

Post

2056

Excited to announce PatientSeek ( whyhow-ai/PatientSeek), the first open-source fine-tuned DeepSeek reasoning model for the MED-LEGAL space, designed to run securely and privately on local systems, and trained on one of the largest accessible datasets of patient records.

It is purpose-built for MED-LEGAL workflows, focusing on disease and diagnosis identification and correlation reasoning—critical tasks that require the intersection of healthcare and legal expertise.

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upvoted a collection 2 days ago

Qwen2.5-VL

Collection

Vision-language model series based on Qwen2.5 • 3 items • Updated 3 days ago • 271

updated a model 10 days ago

jqop/unigram_tokenizer

Updated 10 days ago

published a model 10 days ago

jqop/unigram_tokenizer

Updated 10 days ago

reacted to stefan-it's post with ❤️👀 10 days ago

Post

1401

My latest project is the outcome of the last 2+ years working with TPUs from the amazing TPU Research Cloud (TRC) program and training Encoder-only LMs with the TensorFlow Model Garden library.

👉 Link: https://github.com/stefan-it/model-garden-lms

An overview of some features:

- Cheatsheet for setting-up a TPU VM Pod (with all necessary dependencies) to pretrain LMs with TF Model Garden
- Conversion scripts that convert TF Model Garden weights to Hugging Face Transformers-compatible models
- Supported architectures include BERT, BERT with Token Dropping and TEAMS

I also released BERT-based models pretrained on the great Hugging Face FineWeb and FineWeb-Edu datasets (10BT subset). With more to come!

👉 Model Hub Link: https://huggingface.co./model-garden-lms

If you find these resources useful, please give them a like!

Made from Bavarian Oberland with ❤️ and 🥨.