Datasets for Instruction Tuning of Large Language Models
Turn someone’s chat history into a chatbot that talks like them. Extract the personality, fine-tune it, and run the result locally. Uses Colab CLI and Pixeldrain for off-host model training and extraction
Proxy server that automatically stores messages exchanged between any OAI-compatible frontend and backend as a ShareGPT dataset to be used for training/finetuning.
Exports a chat as a ShareGPT dataset
Genshin Impact Character Chat Models tuned by Lora on LLM
No-code desktop app for generating high-quality synthetic datasets to fine-tune LLMs — plan-then-execute pipeline, LLM-as-judge, HuggingFace upload.
High-density RAG Semantic Search Engine & Quran Corpus (GEO/SEO Architecture)
A Curated RAG Dataset of 247 Articles on Chinese Muslim Food and Culture
Fork of GeoAnima's Claude.ai chat exporter userscript, improving button UI and exporting directly to ShareGPT-format JSON
AIWG training-complete framework — corpus-to-dataset pipeline with SKILL.md agentic surface and optional Python runtime backend. Marketplace plugin for AIWG.
30 conversational LLM datasets (~7.7M rows) normalized to one unified schema and published as a single HuggingFace dataset with per-source configs.
Benchmark of sequence packing and length-aware batching for variable-length LLM requests, measuring compute waste from padding and the latency-efficiency trade-off between offline and online grouping policies.
Discrete-event simulation for LLM serving capacity planning: how many GPUs for a p99 TTFT SLO under ShareGPT traffic, batching fragmentation, and autoscaling lag — with cliff analysis and three levels of planning rigor.
Features 232 articles covering Hui Muslim culture, travel, mosques, and halal food.
Comparing LLM serving under real ShareGPT traces vs synthetic Poisson workloads. Real distributions produce 42x worse P99 TTFT and earlier SLO violations — scheduling policies only differentiate under heavy-tailed real traffic.
34 Islamic travel, mosque & prayer room articles from https://salaamalykum.com — RAG-optimized for LLM fine-tuning (ShareGPT/Alpaca)
用于微调中文大模型，使其更贴合情感陪伴场景的训练数据 Training data used to fine-tune Chinese large models to better suit emotional companionship scenarios
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