Sorihon/Extraordinary-Journey-24B

TEXT GENERATIONConcurrency Cost:2Model Size:24BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 2, 2026Architecture:Transformer Cold

Sorihon/Extraordinary-Journey-24B is a 24 billion parameter language model created by Sorihon, formed by merging seven distinct 24B models. This model leverages the combined strengths of its constituent models, including CrucibleLab/M3.2-24B-Loki-V1.3, Delta-Vector/Rei-24B-KTO, and Gryphe/Codex-24B-Small-3.2, to offer a broad range of capabilities. With a context length of 32768 tokens, it is designed for diverse applications requiring robust language understanding and generation.

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Extraordinary-Journey-24B Overview

Extraordinary-Journey-24B is a 24 billion parameter language model developed by Sorihon, distinguished by its unique creation method: a merge of seven different 24B models. This approach aims to consolidate the individual strengths and specialized capabilities of each component model into a single, more versatile entity. The constituent models include:

  • CrucibleLab/M3.2-24B-Loki-V1.3
  • Delta-Vector/Rei-24B-KTO
  • Entropicengine/Pinecone-sage-24b
  • Gryphe/Codex-24B-Small-3.2
  • LatitudeGames/Hearthfire-24B
  • ReadyArt/Dark-Nexus-24B-v2.0
  • Sorihon/Royal-Realms-24B

Key Capabilities

By integrating models like Gryphe/Codex-24B-Small-3.2, this merged model likely inherits enhanced capabilities in areas such as code generation and understanding. The inclusion of models like Delta-Vector/Rei-24B-KTO suggests potential for improved instruction following and alignment. With a substantial context length of 32768 tokens, Extraordinary-Journey-24B is well-suited for processing and generating longer texts, maintaining coherence over extended conversations or documents.

Good For

  • Applications requiring a broad range of general-purpose language understanding and generation.
  • Tasks that benefit from the combined strengths of multiple specialized models.
  • Use cases needing a large context window for complex or lengthy inputs.