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MiniMax-M3.1-Flash-Vision

Image Feature Extraction
Transformers
Safetensors
minimax_m3_vl_vision
vision
Model card Files
xet
 Community
immanuelpeter commited on
Commit
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1 Parent(s): 17a9a75

Synchronize maintained vision bundle layout and manifest

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Files changed (2) hide show
  1. README.md +11 -8
  2. export_manifest.json +13 -21
README.md CHANGED
@@ -17,14 +17,17 @@ This repository packages the Tower and Projector from
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  ## Contents
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- | File | Tensors | What it holds |
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- |---|---|---|
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- | `model.safetensors` | 515 | MiniMax-M3.1-Flash vision Tower |
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- | `projector.safetensors` | 8 | `multi_modal_projector` and remapped `patch_merge_mlp` |
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- | `projector_config.json`, `projector.py` | | Projector shapes and loader |
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- | `config.json`, `preprocessor_config.json` | | Vision-only model and image-processing configuration |
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- | `export_manifest.json` | | Source pin, tensor counts and file hashes |
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- | `LICENSE`, `LICENSE-CODE`, `NOTICE` | | Weight license, code license and attribution |
 
 
 
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  ## Architecture
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  ## Contents
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+ | File | Contents |
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+ |---|---|
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+ | `model.safetensors` | Original-dtype Tower |
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+ | `projector.safetensors`, `projector.py`, `projector_config.json` | Projector weights, configuration and loader |
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+ | `config.json`, `preprocessor_config.json` | Vision and image-processing configuration |
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+ | `examples/inference.py` | Single-image inference |
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+ | `LICENSE`, `LICENSE-CODE`, `NOTICE` | Licenses and attribution |
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+ | `README.md`, `export_manifest.json` | Card, pinned source and file hashes |
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+ | `.gitattributes` | Hub-managed storage rules |
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+
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+ Hub-only `.gitattributes` controls storage; the manifest identifies it separately from content hashes.
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  ## Architecture
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export_manifest.json CHANGED
@@ -5,19 +5,19 @@
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  "model-00013-of-00048.safetensors",
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  "model-00048-of-00048.safetensors"
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  ],
 
 
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  "tower_tensors": 515,
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  "projector_tensors": 8,
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- "dtype": "bfloat16",
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- "source_dtypes_preserved": true,
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- "hash_excludes": [
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- "export_manifest.json"
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- ],
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  "files_sha256": {
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- ".gitattributes": "11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361",
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  "LICENSE": "8c4978e3e0fe0349ff929cc8450463cba3039c4c9fc144d8bd5382ab00df247a",
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  "LICENSE-CODE": "149f05ce186198084c9abd6af8e76e108ba7e507446a19ee5a2ffd694f69f525",
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  "NOTICE": "19d19379d439b6dc2614476bb50b170fbe382a58f3a84ec67ff9bcd4e212d626",
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- "README.md": "4c85532cd87301b8ae8ec2686c6b3680aedda6d705089456ad7d65c701f3c6cc",
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  "config.json": "9c3a6dac0654055594fdde1f148400331f3e55cb72ffe1b7a6806db07ab93a79",
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  "examples/inference.py": "fcde5470ba4e9fce0730f544f4f3b7669bf4f9bdcaf556223cebc4ed67ef1c5a",
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  "model.safetensors": "95e3731e26887d066a0b2291a1574da40a36aba5ba43e476746b9c16a64bcf08",
@@ -26,18 +26,10 @@
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  "projector.safetensors": "81fe7c8be0a2e91b26040ab23523713d1b775eadcdee5ac0021593762d3e6332",
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  "projector_config.json": "672b312ca5fb10324a41936294814367fb371a3891cc6d8ee8df3d22fc0c559c"
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  },
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- "files": {
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- ".gitattributes": "11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361",
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- "LICENSE": "8c4978e3e0fe0349ff929cc8450463cba3039c4c9fc144d8bd5382ab00df247a",
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- "LICENSE-CODE": "149f05ce186198084c9abd6af8e76e108ba7e507446a19ee5a2ffd694f69f525",
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- "NOTICE": "19d19379d439b6dc2614476bb50b170fbe382a58f3a84ec67ff9bcd4e212d626",
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- "README.md": "4c85532cd87301b8ae8ec2686c6b3680aedda6d705089456ad7d65c701f3c6cc",
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- "config.json": "9c3a6dac0654055594fdde1f148400331f3e55cb72ffe1b7a6806db07ab93a79",
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- "examples/inference.py": "fcde5470ba4e9fce0730f544f4f3b7669bf4f9bdcaf556223cebc4ed67ef1c5a",
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- "model.safetensors": "95e3731e26887d066a0b2291a1574da40a36aba5ba43e476746b9c16a64bcf08",
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- "preprocessor_config.json": "c95c459d449a2dacd974bcfef8986b2734afd55e73eb05a7aaad30542cf78b6e",
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- "projector.py": "bab293839308485914d9618601282dbaaefc03e495841988a90174b07f4c92e3",
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- "projector.safetensors": "81fe7c8be0a2e91b26040ab23523713d1b775eadcdee5ac0021593762d3e6332",
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- "projector_config.json": "672b312ca5fb10324a41936294814367fb371a3891cc6d8ee8df3d22fc0c559c"
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- }
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  }
 
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  "model-00013-of-00048.safetensors",
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  "model-00048-of-00048.safetensors"
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  ],
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+ "dtype": "mixed",
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+ "source_dtypes_preserved": true,
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  "tower_tensors": 515,
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  "projector_tensors": 8,
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+ "tensor_dtypes": {
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+ "F32": 1,
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+ "BF16": 522
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+ },
 
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  "files_sha256": {
 
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  "LICENSE": "8c4978e3e0fe0349ff929cc8450463cba3039c4c9fc144d8bd5382ab00df247a",
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  "LICENSE-CODE": "149f05ce186198084c9abd6af8e76e108ba7e507446a19ee5a2ffd694f69f525",
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  "NOTICE": "19d19379d439b6dc2614476bb50b170fbe382a58f3a84ec67ff9bcd4e212d626",
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+ "README.md": "09a5272c4f826c14ce19ac33fbc77875be80452e530e7f56e6316fddf2754281",
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  "config.json": "9c3a6dac0654055594fdde1f148400331f3e55cb72ffe1b7a6806db07ab93a79",
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  "examples/inference.py": "fcde5470ba4e9fce0730f544f4f3b7669bf4f9bdcaf556223cebc4ed67ef1c5a",
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  "model.safetensors": "95e3731e26887d066a0b2291a1574da40a36aba5ba43e476746b9c16a64bcf08",
 
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  "projector.safetensors": "81fe7c8be0a2e91b26040ab23523713d1b775eadcdee5ac0021593762d3e6332",
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  "projector_config.json": "672b312ca5fb10324a41936294814367fb371a3891cc6d8ee8df3d22fc0c559c"
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  },
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+ "hash_excludes": [
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+ "export_manifest.json"
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+ ],
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+ "hub_only_metadata": [
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+ ".gitattributes"
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+ ]
 
 
 
 
 
 
 
 
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  }