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Ngodi

mrngodi
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AI & ML interests

RNN, CNN, LLM, LVM,

Recent Activity

published a model 15 days ago
mrngodi/CMT_tinyllama_1.1B-Chat-v1
replied to JustinLin610's post 4 months ago
Finally, Qwen1.5-110B is out! With weights and demo! Blog: https://qwenlm.github.io/blog/qwen1.5-110b/ Demo: https://huggingface.co/spaces/Qwen/Qwen1.5-110B-Chat-demo Base: https://huggingface.co/Qwen/Qwen1.5-110B Chat: https://huggingface.co/Qwen/Qwen1.5-110B-Chat This model has some specific features: * GQA * 32K token context length * Multilingual support We feel good about its performance on benchmarks, including those for base models and chat models, but we still need more of your testing and feedback to help us know its capabilities and limitations! Additionally, the base model has not learned chatml tokens. Yeah if you use chatml format, you need to be careful about it! Enjoy and stay tuned for Qwen2!
reacted to merve's post with 👍 4 months ago
A complete RAG pipeline includes a reranker, which ranks the documents to find the best document 📓 Same goes for multimodal RAG, multimodal rerankers which we can integrate to multimodal RAG pipelines! Learn how to build a complete multimodal RAG pipeline with https://huggingface.co/vidore/colqwen2-v1.0 as retriever, https://huggingface.co/lightonai/MonoQwen2-VL-v0.1 as reranker, https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct as VLM in this notebook that runs on a GPU as small as L4 🔥 https://huggingface.co/learn/cookbook/multimodal_rag_using_document_retrieval_and_reranker_and_vlms
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