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AI 모델 84759

• nexus-finance-GGUF↗

  King3Djbl

  A 1.5B model scoring **96%** — punching far above its weight. 30-prompt evaluation (domain knowledge, uncensored domain + general, reasoning, tool use), 0–5 scoring, run on an NVIDIA A40 via Ollama.

• OLMoE-1B-7B-0125-Instruct-Colibri↗

  Krishal

• llm-jp-4.1-8b-thinking-ONNX↗

  liodon-ai

• Qwen3.8-27B-Uncensored-Heretic-Native-MTP-Preserved-NVFP4-GGUF↗

  llmfan46

  🚨⚠️ I HAVE REACHED HUGGING FACE'S FREE STORAGE LIMIT ⚠️🚨 I can no longer upload new models unless I can cover the cost of additional storage. I host 70+ free models as an independent contributor and this work is unpaid. Without your support, no more new models can be uploaded. Creating these models takes significant time, work and compute. If you find them useful consider supporting me: Your help will motivate me and would go into further improving my workflow and coverings fees for storage, compute and may even help uncensoring bigger model with rental Cloud GPUs.

• TRELLIS.2-4B-GGUF↗

  LocalAI-io

  GGUF (`f16`) conversions of microsoft/TRELLIS.2-4B for the **trellis2cpp** / ggml runtime — a CUDA-free, PyTorch-free C++ port of the TRELLIS.2 image-to-3D pipeline. Load these directly; no safetensors conversion or Python is needed at inference. The image conditioning encoder (DINOv3) and the sparse-structure decoder are published separately: dinov3-vitl16-pretrain-lvd1689m-GGUF and TRELLIS-image-large-GGUF. Converted from the upstream `bf16`/`fp16` safetensors to GGUF `f16` (ggml ftype 1) with the `convert_*_to_gguf.py` scripts in the trellis2cpp project. No weights were retrained or modified — this is a format conversion only.

• sedd-small↗

  louaaron

• Andy-4.2-GGUF↗

  mradermacher

• Annabelle-Instruct-v0.1.650-GGUF↗

  mradermacher

• BioinspiredLLM-i1-GGUF↗

  mradermacher

• Boreas-7B-chat-GGUF↗

  mradermacher