<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1thkwgk/bytedance_released_an_open_source_model_that/"> <img alt="bytedance released an open source model
<!-- SC_OFF --><div class="md"><p>I created a simple text to image benchmark.</p> <p>I curated <strong>192 prompts that are difficult for T2I models</strong> in various ways: text
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s59rct/rys_part_3_llms_think_in_geometry_not_language/"> <img alt="RYS Part 3: LLMs think in geometry, not
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1tp82lt/hugging_face_dataset_lineage_explorer/"> <img alt="Hugging Face Dataset Lineage Explorer"
<!-- SC_OFF --><div class="md"><p>Disclosure: I built LabelSets (labelsets.ai). Sharing the technical approach behind how we score dataset quality.</p> <p>THE PROBLEM</p> <p>Most
<!-- SC_OFF --><div class="md"><blockquote> <p><strong>WARNING: wait before download from HF: I just realised my upload of the new versions with the additional fix in the chat
<!-- SC_OFF --><div class="md"><p>Well, alright, i want ~100M parameters . on a NVIDIA L4 (24GB VRAM)</p> <p>. any good dataset (and quanity of tokens ) to pretrain ?</p>
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1w18v86/use_llms_to_auto_annotation_your_dataset_locally/"> <img alt="use llms to auto annotation your
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