Catalyst Atlas models

The model files Catalyst Atlas downloads on first use, each pinned by its SHA-256. They are other authors' models, converted or quantized to run locally; none was trained or fine-tuned here. Each keeps its own licence, below.

File Model What was done Licence SHA-256
embeddinggemma-2-UD-Q5_K_XL.gguf EmbeddingGemma 2 by Google DeepMind: its text model None: an unchanged copy of Unsloth's dynamic Q5_K_XL quantization Apache 2.0 a9d7a3b7eb421113f05e964e10882676f10fff83811b7876d5bb983db7c7ac41
mmproj-Q5_1.gguf EmbeddingGemma 2 by Google DeepMind: its picture and sound encoders with their projectors Quantized to Q5_1 (the linear layers only) from ggml-org's BF16 GGUF Apache 2.0 cc85c7137a34989ef5fb6fee08725671c936276cff5eb820b93ff02c39528906
omnishotcut_v1.5_fp16.onnx OmniShotCut v1.5 by the UVA Computer Vision Lab: finds the cuts between shots Converted to ONNX, in 16-bit floats MIT 9c39c117eafe6cd6939c6236ccb274076c7c9c4a2927de3ac606246694ac05d3
Qwen3-ASR-1.7B.i1-Q5_K_M.gguf Qwen3-ASR 1.7B by the Qwen team, Alibaba Cloud: speech recognition None: an unchanged copy of mradermacher's Q5_K_M with an importance matrix Apache 2.0 737f4b9cb049361dad7d4625d298b16a0a2cb026268da195b93298329636a304
Qwen3-ASR-1.7B.mmproj-Q8_0.gguf Qwen3-ASR 1.7B: its audio encoder with its projector None: an unchanged copy of mradermacher's Q8_0 Apache 2.0 780b5b48dfbc23c219cc9d3da9fdaccc7da567fa661b3724d19bda50fbcfc8c3

Licences and notices

  • Apache 2.0 (LICENSE-Apache-2.0.txt): EmbeddingGemma 2 and Qwen3-ASR. The files marked above as quantized or converted were modified from the originals in that way only.
  • MIT (LICENSE-MIT-OmniShotCut.txt): OmniShotCut, Copyright (c) 2026 UVA Computer Vision Lab.
  • "Gemma" and "EmbeddingGemma" are trademarks of Google LLC. EmbeddingGemma 2's model card asks that its use follow Google's Gemma Prohibited Use Policy.
  • The models are provided as their authors provide them, without warranties of any kind.
Downloads last month
39
GGUF
Model size
0.3B params
Architecture
gemma-embedding2
Hardware compatibility
Log In to add your hardware

5-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support