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AI 模型 84759

• VicUnlocked-30B-LoRA-GGUF↗

  TheBloke

• Artemis-31B-v1-GGUF↗

  TheDrummer

• FLUX.2-klein-9B-SNOFS↗

  timdrnl

• qwen3.5vl-4b-Q5-Q4↗

  tpgz

• Qwen3.5-35B-A3B-NVFP4↗

  txn545

  The **txn545/Qwen3.5-35B-A3B-NVFP4** model is a quantized version of Alibaba's Qwen3.5-35B-A3B model, an auto-regressive language model that uses an optimized transformer architecture. For more information on the base model, please check here. This model was quantized using the NVIDIA Model Optimizer. This model is built upon a third-party base model; see the link to the Non-NVIDIA (Qwen3.5-35B-A3B) Model Card for original requirements and use cases. Developers looking to take off-the-shelf, pre-quantized models for deployment in AI Agent systems, chatbots, RAG systems, and other AI-powered applications.

• embeddinggemma-300m-GGUF↗

  unsloth

  EmbeddingGemma is a 300M parameter, state-of-the-art for its size, open embedding model from Google, built from Gemma 3 (with T5Gemma initialization) and the same research and technology used to create Gemini models. EmbeddingGemma produces vector representations of text, making it well-suited for search and retrieval tasks, including classification, clustering, and semantic similarity search. This model was trained with data in 100+ spoken languages. The small size and on-device focus makes it possible to deploy in environments with limited resources such as mobile phones, laptops, or desktops, democratizing access to state of the art AI models and helping foster innovation for everyone. These model weights are designed to be used with Sentence Transformers, using the Gemma 3 implementation from Hugging Face Transformers as the backbone.

• Bonsai-27B-LocalAI↗

  weareapexcreators

• phaet↗

  wearewaiv

• Breeze-7B-Instruct-v1_0-GGUF↗

  ZoneTwelve

• Qwen3.5-4B-heretic-GGUF↗

  ZuzeTt