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AI 모델 85003

• Wan2.2-I2V-A14B-GGUF↗

  imaginationland

• qwen3b-int4-Octuma↗

  Imanol11

• Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated-MTP-GGUF↗

  insraq

  GGUF of insraq/Qwen3.5-4B-EmperoAI-Qwen3.8-Distill-Heretic-Abliterated, with MTP drafter merged from unsloth/Qwen3.5-4B-MTP-GGUF > [!TIP] > **This model is reproducible!** > > See the README in the `reproduce` directory for more information. > [!Note] > This repository contains model weights and configuration files in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, and other standard runtimes with Qwen3.5 architecture support.

• e5-base↗

  intfloat

  **News (May 2023): please switch to e5-base-v2, which has better performance and same method of usage.** Below is an example to encode queries and passages from the MS-MARCO passage ranking dataset. Please refer to our paper at https://arxiv.org/pdf/2212.03533.pdf.

• Qwopus3.8-27B-Flash-V2-GGUF↗

  Jackrong

  > [!NOTE] > **Qwopus3.8-27B-Flash-V2** is a renewed post-training release of Qwopus3.8-27B-Flash, whose foundation is Qwen3.8-27B. > [!TIP] > **Revised Rewards and Reinforcement Learning · Improved Python Formatting** Qwopus3.8-27B-Flash-V2 is a renewed post-training release of Qwopus3.8-27B-Flash, which itself is built on Qwen3.8-27B. The goal remains the same: preserve enough capability for demanding work while reducing ineffective reasoning and making long-running agent workloads more practical.

• Swift-Qwen3.8-27B-Finnish-GGUF↗

  kataguru

• Ouro-1.4B↗

  KristianS7

• Ouro-1.4B-Thinking↗

  KristianS7

• next-4b-Q4_K_M-GGUF↗

  Lamapi

• unsloth-Phi-3.5-mini-instruct-IMat-GGUF↗

  legraphista