Datasets for Instruction Tuning of Large Language Models
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Updated
Nov 30, 2023
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.
Exports a chat as a ShareGPT dataset
Proxy server that automatically stores messages exchanged between any OAI-compatible frontend and backend as a ShareGPT dataset to be used for training/finetuning.
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)
Fork of GeoAnima's Claude.ai chat exporter userscript, improving button UI and exporting directly to ShareGPT-format JSON
A Curated RAG Dataset of 247 Articles on Chinese Muslim Food and Culture
30 conversational LLM datasets (~7.7M rows) normalized to one unified schema and published as a single HuggingFace dataset with per-source configs.
AIWG training-complete framework — corpus-to-dataset pipeline with SKILL.md agentic surface and optional Python runtime backend. Marketplace plugin for AIWG.
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.
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.
Merge heterogeneous chat/text sources into a single LLM training format (JSONL)
本地化 AI Agent 会话数据采集与审核系统:采集 → 自动评分 → 人工复核 → 导出训练集(ShareGPT/Alpaca)· 本地优先与全链路审计
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