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ronantakizawa 
posted an update about 2 months ago
stephenb1334 
in lora-library/inme about 2 months ago

Add application file

#1 opened about 2 months ago by
stephenb1334
ronantakizawa 
posted an update 4 months ago
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2837
Introducing the github-codereview dataset: A compilation of 200k+ human-written code reviews from top OSS projects (React, Tensorflow, VSCode...).

I finetuned a Qwen2.5-Coder-32B-Instruct model with this dataset and saw significant improvements in generating better code fixes and review comments (4x improved BLEU-4, ROUGE-L, SBERT scores compared to base model).

#codereview #code #datasets

ronantakizawa/github-codereview
ronantakizawa 
posted an update 5 months ago
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2527
Introducing the WebUI dataset: a compilation of screenshot to code pairs of modern websites detailing the styling, framework used, and box bounds for all viewports (Desktop, mobile, tablet).

This dataset showed signs of improved performance in web design LLM benchmarks for a finetuned QWEN 2.5 VL-7B!

#web #ui #datasets

ronantakizawa/webui
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ronantakizawa 
posted an update 5 months ago
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2124
Introducing the github-top-code dataset: A curated dataset of 1.3M+ source code files from GitHub's top ranked developers.

I collected the best source code files from Github's highest trending developers of all time, and compiled a dataset to train LLMs to write well-structured, production-grade code.

#dataset #codedataset #pretraining

ronantakizawa/github-top-code
ronantakizawa 
posted an update 5 months ago
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291
Introducing the LeetCode Assembly Dataset: a dataset of 400+ LeetCode problem solutions in assembly across x86-64, ARM64, MIPS64, and RISC-V using GCC & Clang at -O0/-O1/-O2/-O3 optimizations.

This dataset is perfect for teaching LLMs complex compiler behavior!

#dataset #leetcode #assembly

ronantakizawa/leetcode-assembly
ronantakizawa 
posted an update 5 months ago
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246
Hit 10,000+ downloads across my models and datasets on Hugging Face!

Follow for more @ronantakizawa !

#building #datasets #huggingface
jorgemunozl 
posted an update 6 months ago
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481
just published a short article about something that bit me hard while porting PI05’s subtask prediction to PyTorch: left vs right alignment in transformer padding.
turns out JAX (what Physical Intelligence used) and Hugging Face use opposite padding conventions — and if you don’t catch it, your model silently produces nonsense instead of crashing. no NaN, no error, just garbled subtasks 🤡
i walk through the full tensor pipeline — images → embeddings → pad masks → attention masks → position IDs — and show exactly where the mismatch corrupts everything. also included the implementation file with the fix.
if you’ve ever ported a model between frameworks or messed with custom attention patterns, i think you will enjoy it
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ronantakizawa 
posted an update 6 months ago
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2677
Moltbook, a Reddit platform only for AI agents, is going viral right now as agents are acting unhinged!

I compiled a dataset of all posts and subreddits in Moltbook so far so anyone can easily analyze the activity in Moltbook.

ronantakizawa/moltbook

#moltbook #clawd #aiagent
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