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AI モデル 84759

• Z-Image-Turbo-W4A8↗

  CuTIsolation

• Mistral-7B-Instruct-v0.1-GGUF-fp16↗

  ddh0

• Ornith-1.5-122B-UNCENSORED-NVFP4↗

  dealignai

• wan-2.2-5b-ti2v-gguf-stable-diffusion-cpp↗

  desirel

• Qwen.Qwen2.5-32B-GGUF↗

  DevQuasar-14

• Tiel-Coder-35B-A3B-GGUF-MTP↗

  dotnfc

• decision-transformer-gym-hopper-expert↗

  edbeeching

• frqwen2.5-from7b-it↗

  ehristoforu

• ecot-openvla-7b-bridge↗

  Embodied-CoT

• gemma-4-E4B-it-GGUF↗

  ente-ai

  Jun 9 Update: Added MTP support. See our MTP Guide . Apr 11 Update: Re-download for Google's latest chat template and llama.cpp fixes. Gemma 4 can now be run and fine-tuned in Unsloth Studio . Read our guide . See all versions of Gemma 4 (GGUF, 16-bit etc.) in our collection . Example of Gemma 4 E4B (4-bit GGUF) running in Unsloth Studio with tool-calling: Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on small models) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages. Featuring both Dense and Mixture-of-Experts (MoE) architectures, Gemma 4 is well-suited for tasks like text generation, coding, and reasoning. The models are available in four distinct sizes: **E2B**, **E4B**, **26B A4B**, and **31B**. Their diverse sizes make them deployable in environments ranging from high-end phones to laptops and servers, democratizing access to state-of-the-art AI.