zhiyuanhucs/genshin-llava019-qwen3.5-9b-128k

VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Sep 13, 2026Architecture:Transformer Featherless Exclusive Cold

The zhiyuanhucs/genshin-llava019-qwen3.5-9b-128k model is a 9-billion parameter, behavior-cloning SFT snapshot based on Qwen/Qwen3.5-9B. It is trained with a 128K context length, utilizing sequence packing and specific action/thought special tokens. This model is specialized for tasks related to the Genshin Impact game, integrating LLaVA 0.19 for potential multimodal capabilities, and is optimized for generating game-specific behaviors and responses.

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Overview

This model, genshin-llava019-qwen3.5-9b-128k, is a 9-billion parameter, behavior-cloning SFT (Supervised Fine-Tuning) snapshot developed by zhiyuanhucs. It is built upon the Qwen/Qwen3.5-9B base model and incorporates LLaVA 0.19, suggesting multimodal capabilities, particularly for Genshin Impact-related content. The model was trained with a substantial 128K context length using sequence packing, enabling it to process extensive inputs and generate detailed outputs.

Key Capabilities

  • Genshin Impact Specialization: Fine-tuned specifically for tasks and interactions related to the Genshin Impact game, leveraging multiple "Genshin passes" during training.
  • Large Context Window: Supports a 128K context length, allowing for processing and generating long, complex sequences of information.
  • Behavior Cloning: Utilizes a behavior-cloning SFT approach, indicating its ability to mimic specific interaction patterns or responses.
  • Special Tokens: Incorporates unique special tokens like <|action_start|>, <|action_end|>, <|action_sep|>, <|thought_start|>, and <|thought_end|> for structured output generation, likely for agentic or interactive applications.

Good For

  • Developing AI agents or chatbots for Genshin Impact.
  • Generating game-specific narratives, dialogues, or actions.
  • Research into behavior cloning and large context window applications within specific domains like gaming.