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AI モデル 85003

• 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

• llm-jp-4-8b-thinking↗

  llm-jp

  LLM-jp-4 is a series of large language models developed by the Research and Development Center for Large Language Models at the National Institute of Informatics. This repository provides the **llm-jp-4-8b-thinking** model. For an overview of the LLM-jp-4 models across different parameter sizes, please refer to: - LLM-jp-4 Models Base models are trained with pre-training and mid-training only. Post-trained models are aligned using supervised fine-tuning (SFT) and direct preference optimization (DPO), without reinforcement learning.

• Qwen3-30B-A3B-Instruct-2507-GGUF↗

  lmstudio-community

  *👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*. **Model creator:** Qwen **Original model**: Qwen3-30B-A3B-Instruct-2507 **GGUF quantization:** provided by LM Studio team using `llama.cpp` release b6022 🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.

• una-cybertron-7b-v2-bf16-Mistral-7B-Instruct-v0.1-GGUF↗

  MaziyarPanahi

• Yamshadowexperiment28T3qm7xp-7B-GGUF↗

  MaziyarPanahi