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AI Models 84997

• Qwen3-4b-Z-Image-Engineer-V4↗

  BennyDaBall

  V4 still rocks as the original Qwen3 prompt-engineer build. The new V6 release is the native Z-Image Turbo text-encoder build, rebuilt with SMART DoRA and trained locally for ComfyUI drop-in use plus LM Studio prompt enhancement. This is Z-Engineer V4, the culmination of extensive research into what makes an AI prompt engineer actually *good* at its job. Built on the Qwen 3 architecture and trained using a novel **SMART Training** methodology, this 4B parameter model doesn't just describe scenes—it understands the craft of visual storytelling down to the lens flare. Z-Engineer V4 is a fully fine-tuned (not LoRA, we went *all in*) version of the text encoder from Tongyi-MAI/Z-Image-Turbo. It's been specifically trained to understand the nuances of AI Image Generation workflows.

• rf-r16-sp03↗

  bmars8218

• DeepSeek-Coder-V2-Instruct-GGUF↗

  bullerwins

• stable-audio-3↗

  Comfy-Org

  - https://huggingface.co/stabilityai/stable-audio-3-medium - https://huggingface.co/stabilityai/stable-audio-3-medium-base - https://huggingface.co/stabilityai/stable-audio-3-small-music - https://huggingface.co/stabilityai/stable-audio-3-small-music-base - https://huggingface.co/stabilityai/stable-audio-3-small-sfx - https://huggingface.co/stabilityai/stable-audio-3-small-sfx-base

• Qwen3.5-35B-A3B-AWQ-4bit↗

  cyankiwi

  > [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Transformers, vLLM, SGLang, KTransformers, etc. > [!Tip] > For users seeking managed, scalable inference without infrastructure maintenance, the official Qwen API service is provided by Alibaba Cloud Model Studio. > > In particular, **Qwen3.5-Flash** is the hosted version corresponding to Qwen3.5-35B-A3B with more production features, e.g., 1M context length by default and official built-in tools. > For more information, please refer to the User Guide. Over recent months, we have intensified our focus on developing foundation models that deliver exceptional utility and performance. Qwen3.5 represents a significant leap forward, integrating breakthroughs in multimodal learning, architectural efficiency, reinforcement learning scale, and global accessibility to empower developers and enterprises with unprecedented capability and efficiency.

• Qwen.Qwen2-VL-7B-GGUF↗

  DevQuasar

• Huihui-Qwen3.8-27B-Coder390-EfficientThink-abliterated-KO-Ridge-3.7bpw-GGUF↗

  donghanasd

• cognitive-hacker-gguf-0.2↗

  ebowwa

• 4M_tokenizers_depth_8k_224-448↗

  EPFL-VILAB

• mms-tts-bqi↗

  facebook