Huge drops in open AI past week!
Find more models, datasets, demos here merve/releases-july-4-686bcc54ed7c45c341fbf654
Some of our picks 🫡
⏯️ BAAI/MTVCraft is a new Veo3-like text-to-video model, demo is here BAAI/MTVCraft
🧑🏻‍💻 apple/diffucoder-6868139f56672ae046fe04e8 is a new family of diffusion LLMs (7B base and instruct) for coding
🗣️ kyutai/tts-1.6b-en_fr is a new small TTS model for English and France
👀 aharley/alltracker is a new pixel tracking model by Stanford, demo is here aharley/alltracker
📖 https://huggingface.co/datasets/racineai/OGC_MEGA_MultiDomain_DocRetrieval is a new large visual document retrieval dataset

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reacted to nicolay-r's post with 🔥 7 months ago

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3561

🚀 For those who interested in summarization of the long textual reports in medical domain 📝🩺, @Xiaolihai and I delighted to share that we experiment with distillation tuning adaptation for Qwen-2.5 0.5B. We use reports from the MultiClinSum dataset and pass it through 72B version to retrieve report explanations in order to initiate ditillation tuning for 0.5B model. We experiment with passages written in English, French, Portuguese, and Spanish.

🔑 We find that using distil-technique results in 2-4% performance increment on fine-tuning and similar improvements for reports in English (non-official and official evaluation). For the other it results in systems that perform similar to the convential tuning (standard) (see result below).

Dataset: https://zenodo.org/records/15459174
Competition: https://participants-area.bioasq.org/general_information/MultiClinSum/
Github: https://github.com/nicolay-r/distil-tuning-llm
model: nicolay-r/qwen25-05b-multiclinsum-distil

3 replies

liked a Space 7 months ago

Diffuse Image Generator

📚

Generate images from text prompts

updated a Space 7 months ago

Diffuse Image Generator

📚

Generate images from text prompts

published a Space 7 months ago

Diffuse Image Generator

📚

Generate images from text prompts

reacted to wewittc's post with 👀 8 months ago

Post

3206

I find it really annoying that you can use a Zero GPU model that will throw an error but it’ll still take the processing time from your quota. So youre just left with less time and nothing to show for it.