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OpenHermes 2.5 Curated Dataset (Teknium 2023年-2024年)(オープンヘルメスニーゴ)

2023年Teknium発表OpenHermes 2.5 curated instruction dataset・Industry-leading open-source curated instruction dataset + Industry-leading 1M+ curated instructions + Industry-leading Nous Research community + Industry-leading open-source LLM fine-tuning dataset.

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2026/5/21 更新
関連タグ
openhermes-2-5-teknium
teknium-2023-nous-research
open-source-curated-instruction-dataset
1m-plus-curated-instructions
nous-research-community
industry-leading-open-source-llm-dataset

概要

OpenHermes 2.5 Curated Dataset は、2023年Teknium発表OpenHermes 2.5 curated instruction dataset・Industry-leading open-source curated instruction dataset 2023年-2024年 + Industry-leading Nous Research community position確立。OpenHermes 2.5 specifications = Industry-leading open-source curated instruction dataset (Industry-leading OpenHermes 2.5 + Industry-leading open-source curated instruction dataset) + Industry-leading 1M+ curated instructions (Industry-leading 1M+ curated instructions + Industry-leading multi-source curated dataset) + Industry-leading Nous Research community (Industry-leading Nous Research community + Industry-leading open-source LLM community-driven)。

主な特徴・仕組み

  • Authoring: Teknium + Nous Research 2023年発表
  • Paradigm: Industry-leading open-source curated instruction dataset
  • Size: Industry-leading 1M+ curated instructions
  • Sources: Industry-leading multi-source curated (Airoboros + Camel + ChatBot Arena + GPT4LLM + Glaive Code Assistant + 多源)
  • Heritage: Industry-leading 1年heritage Teknium OpenHermes
  • Nous Research: Industry-leading Nous Research community-driven
  • Industry Position: Industry-leading open-source curated dataset
  • vs Self-Instruct/Evol-Instruct/Magpie: Industry-leading curated manual vs automatic synthesis
  • Industry-Leading: Industry-leading Teknium Nous Research open-source dataset community
  • Use Cases: Industry-leading open-source LLM fine-tuning Mistral/Llama base

スペック比較表

LLM Data Augmentation (2022-2024)ApproachHeritageIndustry Position
OpenHermes 2.5 (Teknium)Multi-source curated 1M+ instructions2023年Teknium NousIndustry-leading open-source dataset
Self-Instruct (Wang UW)Self-generated instruction tuning2022年UW PioneerIndustry-emerging Self-Instruct Pioneer
Evol-Instruct (WizardLM)Evolving instruction complexity2023年WizardLMIndustry-emerging Evol-Instruct WizardLM
Magpie Data (Xu UCLA)Aligned LLM pre-query self-synthesis2024年UCLAIndustry-emerging Magpie 2024年latest
Back Translation (Sennrich)Back-translation MT augmentation2016年MT classicalIndustry-leading classical augmentation

具体例・対応製品

  • OpenHermes 2.5 (Teknium + Nous Research・2023年-2024年): Industry-leading open-source curated dataset
  • Industry-leading 1M+ curated instructions multi-source: Industry-leading 1M+ multi-source
  • Industry-leading Airoboros + Camel + ChatBot Arena + GPT4LLM + Glaive Code Assistant sources: Industry-leading multi-source
  • Industry-leading Nous Research community-driven: Industry-leading Nous Research community
  • Industry-leading Mistral 7B + Llama base OpenHermes 2.5 fine-tuning: Industry-leading Mistral/Llama fine-tuning
  • 競合 Self-Instruct + Evol-Instruct + Magpie + Back Translation: Industry-emerging augmentation competitors

自作PCでの選び方・注意点

OpenHermes 2.5 Curated Dataset は「Industry-leading open-source curated instruction dataset + Industry-leading 1M+ curated instructions」「Industry-leading Nous Research community + Industry-leading open-source LLM fine-tuning dataset」用途のIndustry-leading open-source curated 2023年Teknium product。Industry-leading 1M+ multi-source (Industry-leading 1M+ curated instructions + Industry-leading multi-source curated dataset + Industry-leading Airoboros + Camel + ChatBot Arena + GPT4LLM + Glaive Code Assistant) で Industry-leading 1M+ curated + Industry-leading multi-source + Industry-leading 5+ source aggregation。Industry-leading Nous Research community (Industry-leading Nous Research community + Industry-leading open-source LLM community-driven + Industry-leading Teknium Nous Research community) で Industry-leading Nous Research community + Industry-leading open-source LLM community-driven + Industry-leading Teknium community。Industry-leading Mistral/Llama base fine-tuning (Industry-leading Mistral 7B + Llama base OpenHermes 2.5 fine-tuning + Industry-leading open-source LLM fine-tuning dataset + Industry-leading 1年heritage Teknium OpenHermes) で Industry-leading Mistral 7B + Llama fine-tuning + Industry-leading open-source LLM fine-tuning + Industry-leading 1年heritage Teknium。但しIndustry-leading Self-Instruct + Evol-Instruct + Magpie + Back Translation competition (Industry-leading Self-Instruct Pioneer 2022年 + Evol-Instruct WizardLM 2023年complexity + Magpie UCLA 2024年aligned + Back Translation 2016年classical vs OpenHermes 2.5 curated multi-source 2023年trade-off) で Industry-leading automatic synthesis 4-paradigm vs OpenHermes manual curated + Industry-leading 1M+ multi-source + Nous Research community unique adoption alignment必須。

関連用語との違い

  • vs Self-Instruct (Wang UW 2022年Pioneer): OpenHermesはMulti-source curated + Teknium 2023年・Self-InstructはSelf-generated Pioneer + UW 2022年Pioneer foundation
  • vs Evol-Instruct (WizardLM 2023年同年): OpenHermesはMulti-source curated + Teknium・Evol-InstructはEvolving complexity + WizardLM
  • vs Magpie Data (Xu UCLA 2024年): OpenHermesはMulti-source curated 1M+ + Teknium 2023年・MagpieはAligned LLM pre-query + UCLA 2024年

よくある質問(FAQ)

Q1: OpenHermes 2.5 vs Self-Instruct 違いは? A: OpenHermes 2.5 (Teknium + Nous Research 2023年 + Multi-source curated 1M+ instructions + Mistral/Llama fine-tuning + Nous Research community) vs Self-Instruct (Wang + UW 2022年 + LLM self-generated instruction tuning + 175 seed tasks + GPT-3 expansion + Self-Instruct Pioneer foundation)・Industry-leading curated 1M+ + multi-source + Nous Research = OpenHermes + Industry-leading Pioneer + automatic + UW = Self-Instruct preference judgment。

Q2: Industry-leading 1M+ curated instructions multi-source value は? A: Industry-leading 1M+ multi-source (Industry-leading 1M+ curated instructions + Industry-leading multi-source curated dataset + Industry-leading Airoboros + Camel + ChatBot Arena + GPT4LLM + Glaive Code Assistant + Industry-leading 5+ source aggregation)。

Q3: Industry-leading Nous Research community value は? A: Industry-leading Nous Research community (Industry-leading Nous Research community + Industry-leading open-source LLM community-driven + Industry-leading Teknium Nous Research community + Industry-leading open-source LLM dataset community)。

まとめ

OpenHermes 2.5 = 2023年Teknium + Nous Research発表のopen-source curated instruction dataset。Industry-leading 1M+ curated instructions multi-source + Industry-leading Airoboros + Camel + ChatBot Arena + GPT4LLM + Glaive Code Assistant + Industry-leading Nous Research community-driven + Industry-leading Mistral 7B + Llama base OpenHermes 2.5 fine-tuning + Industry-leading 1年heritage Teknium OpenHermes + Industry-leading open-source LLM curated dataset community position確立。

この記事について
カテゴリーAI・機械学習
難易度上級
作成日2026/5/21