Clelia (Astra) Bertelli PRO

as-cle-bert

https://www.cleliasportfolio.xyz

AI & ML interests

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posted an update 2 days ago

Hi HuggingFace Community🤗, I am thrilled to announce: 𝐪𝐝𝐮𝐫𝐥𝐥𝐦 𝚟𝟷-𝚛𝚌.𝟷 (https://github.com/AstraBert/qdurllm/tree/january-2025) Qdurllm (𝗤𝗱rant, 𝗨𝗥Ls, 𝗟arge 𝗟anguage 𝗠odels) is a local Gradio (Gradio) application that lets you upload you web content to a local Qdrant (Qdrant) database and search through it or chat with it. The 𝗻𝗲𝘄 𝗽𝗿𝗲-𝗿𝗲𝗹𝗲𝗮𝘀𝗲 (https://github.com/AstraBert/qdurllm/releases/tag/v1.0.0-rc.0) implements 𝘀𝗽𝗮𝗿𝘀𝗲 𝘀𝗲𝗮𝗿𝗰𝗵 (with https://huggingface.co/prithivida/Splade_PP_en_v1) + 𝗿𝗲𝗿𝗮𝗻𝗸𝗶𝗻𝗴 (with https://huggingface.co/nomic-ai/modernbert-embed-base!🚀 by Hugging Face + Nomic AI) and 𝘀𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗰𝗮𝗰𝗵𝗶𝗻𝗴 (based on Qdrant) and switched 𝗳𝗿𝗼𝗺 https://huggingface.co/google/gemma-2-2b-it 𝘁𝗼 https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct to conform to the SOTA landscape and to finally make the application based 𝗼𝗻𝗹𝘆 𝗼𝗻 𝘁𝗿𝘂𝗹𝘆 𝗼𝗽𝗲𝗻 𝗺𝗼𝗱𝗲𝗹𝘀. The pre-release is 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗳𝗼𝗿 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 and I would be really really happy if you wanted to give it a try and leave your feedback on the discussion thread on GitHub (https://github.com/AstraBert/qdurllm/discussions/8) or here on Hugging Face forum via comments under this post✨. Find all the information to install and launch it here 👉 https://astrabert.github.io/qdurllm/#2-installation

replied to their post 7 days ago

Hi HuggingFace community!🤗 I recently released PrAIvateSearch v2.0-beta.0 (https://github.com/AstraBert/PrAIvateSearch), my privacy-first, AI-powered, user-centered and data-safe application aimed at providing a local and open-source alternative to big AI search engines such as SearchGPT or Perplexity AI. We have several key changes: - New chat UI built with NextJS - DuckDuckGo API used for web search instead of Google - https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct as a language model served on API (by FastAPI) - Crawl4AI crawler used for web scraping - Optimizations in the data workflow inside the application Read more in my blog post 👉 https://huggingface.co/blog/as-cle-bert/search-the-web-with-ai Have fun and feel free to leave feedback about how to improve the application!✨

posted an update 8 days ago

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394

Hi HuggingFace Community🤗, I am thrilled to announce:

𝐪𝐝𝐮𝐫𝐥𝐥𝐦 𝚟𝟷-𝚛𝚌.𝟷 (https://github.com/AstraBert/qdurllm/tree/january-2025)

Qdurllm (𝗤𝗱rant, 𝗨𝗥Ls, 𝗟arge 𝗟anguage 𝗠odels) is a local Gradio (Gradio) application that lets you upload you web content to a local Qdrant (Qdrant) database and search through it or chat with it.

The 𝗻𝗲𝘄 𝗽𝗿𝗲-𝗿𝗲𝗹𝗲𝗮𝘀𝗲 (https://github.com/AstraBert/qdurllm/releases/tag/v1.0.0-rc.0) implements 𝘀𝗽𝗮𝗿𝘀𝗲 𝘀𝗲𝗮𝗿𝗰𝗵 (with prithivida/Splade_PP_en_v1) + 𝗿𝗲𝗿𝗮𝗻𝗸𝗶𝗻𝗴 (with nomic-ai/modernbert-embed-base by Hugging Face + Nomic AI) and 𝘀𝗲𝗺𝗮𝗻𝘁𝗶𝗰 𝗰𝗮𝗰𝗵𝗶𝗻𝗴 (based on Qdrant) and switched 𝗳𝗿𝗼𝗺 google/gemma-2-2b-it 𝘁𝗼 Qwen/Qwen2.5-1.5B-Instruct to conform to the SOTA landscape and to finally make the application based 𝗼𝗻𝗹𝘆 𝗼𝗻 𝘁𝗿𝘂𝗹𝘆 𝗼𝗽𝗲𝗻 𝗺𝗼𝗱𝗲𝗹𝘀.

The pre-release is 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗳𝗼𝗿 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 and I would be really really happy if you wanted to give it a try and leave your feedback on the discussion thread on GitHub (https://github.com/AstraBert/qdurllm/discussions/8) or here on Hugging Face forum via comments under this post✨.
Find all the information to install and launch it here 👉 https://astrabert.github.io/qdurllm/#2-installation

Post

1341

Hi HuggingFace community!🤗

I recently released PrAIvateSearch v2.0-beta.0 (https://github.com/AstraBert/PrAIvateSearch), my privacy-first, AI-powered, user-centered and data-safe application aimed at providing a local and open-source alternative to big AI search engines such as SearchGPT or Perplexity AI.

We have several key changes:

- New chat UI built with NextJS
- DuckDuckGo API used for web search instead of Google
- Qwen/Qwen2.5-1.5B-Instruct as a language model served on API (by FastAPI)
- Crawl4AI crawler used for web scraping
- Optimizations in the data workflow inside the application

Read more in my blog post 👉 https://huggingface.co/blog/as-cle-bert/search-the-web-with-ai

Have fun and feel free to leave feedback about how to improve the application!✨

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