| --- |
| license: other |
| license_name: apache-2.0-and-mit |
| license_link: https://huggingface.co/studiocatalyst/atlas-models/blob/main/LICENSE-Apache-2.0.txt |
| tags: |
| - gguf |
| - onnx |
| --- |
| |
| # 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](https://huggingface.co/google/embeddinggemma-2) by Google DeepMind: its text model | None: an unchanged copy of [Unsloth's](https://huggingface.co/unsloth/embeddinggemma-2-GGUF) dynamic Q5_K_XL quantization | Apache 2.0 | `a9d7a3b7eb421113f05e964e10882676f10fff83811b7876d5bb983db7c7ac41` | |
| | `mmproj-Q5_1.gguf` | [EmbeddingGemma 2](https://huggingface.co/google/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](https://huggingface.co/ggml-org/embeddinggemma-2-GGUF) | Apache 2.0 | `cc85c7137a34989ef5fb6fee08725671c936276cff5eb820b93ff02c39528906` | |
| | `omnishotcut_v1.5_fp16.onnx` | [OmniShotCut v1.5](https://github.com/UVA-Computer-Vision-Lab/OmniShotCut) 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](https://huggingface.co/Qwen/Qwen3-ASR-1.7B) by the Qwen team, Alibaba Cloud: speech recognition | None: an unchanged copy of [mradermacher's](https://huggingface.co/mradermacher/Qwen3-ASR-1.7B-i1-GGUF) 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](https://huggingface.co/mradermacher/Qwen3-ASR-1.7B-GGUF) Q8_0 | Apache 2.0 | `780b5b48dfbc23c219cc9d3da9fdaccc7da567fa661b3724d19bda50fbcfc8c3` | |
|
|
| ## Licences and notices |
|
|
| - **Apache 2.0** ([`LICENSE-Apache-2.0.txt`](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`](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](https://ai.google.dev/gemma/prohibited_use_policy). |
| - The models are provided as their authors provide them, without warranties of any kind. |
|
|
