Fix lfm-2.5 layout: distinguish VL from text + colocate tokenizers

.gitattributes

@@ -45,3 +45,5 @@ lfm2.5-VL-450M/lfm2_5_vl_450m_8da4w_xnnpack.pte filter=lfs diff=lfs merge=lfs -t
 350m/xnnpack/lfm_2_5_350m_xnnpack_fp16.pte filter=lfs diff=lfs merge=lfs -text
 1_6b/xnnpack/lfm_2_5_1_6b_xnnpack_8da4w.pte filter=lfs diff=lfs merge=lfs -text
 450m/xnnpack/lfm_2_5_450m_xnnpack_8da4w.pte filter=lfs diff=lfs merge=lfs -text
+vl_1_6b/xnnpack/lfm_2_5_vl_1_6b_xnnpack_8da4w.pte filter=lfs diff=lfs merge=lfs -text
+vl_450m/xnnpack/lfm_2_5_vl_450m_xnnpack_8da4w.pte filter=lfs diff=lfs merge=lfs -text

lfm2.5-1.2B-instruct/.gitattributes

@@ -1,36 +0,0 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
-*.pte filter=lfs diff=lfs merge=lfs -text

lfm2.5-1.2B-instruct/README.md

@@ -1,26 +0,0 @@
----
-license: other
-license_name: lfm1.0
-license_link: https://huggingface.co/LiquidAI/LFM2.5-1.2B-Thinking/blob/main/LICENSE
-pipeline_tag: text-generation
-tags:
-- executorch
-- liquid
-- lfm2.5
-- edge
----
-# Introduction
-
-This repository hosts the **LFM2.5-1.2B-Instruct** model for the [React Native ExecuTorch](https://www.npmjs.com/package/react-native-executorch) library. It includes **quantized** version of it in `.pte` format, ready for use in the **ExecuTorch** runtime.
-
-If you'd like to run these models in your own ExecuTorch runtime, refer to the [official documentation](https://pytorch.org/executorch/stable/index.html) for setup instructions.
-
-## Compatibility
-
-If you intend to use this model outside of React Native ExecuTorch, make sure your runtime is compatible with the **ExecuTorch** version used to export the `.pte` files. For more details, see the compatibility note in the [ExecuTorch GitHub repository](https://github.com/pytorch/executorch/blob/11d1742fdeddcf05bc30a6cfac321d2a2e3b6768/runtime/COMPATIBILITY.md?plain=1#L4). If you work with React Native ExecuTorch, the constants from the library will  guarantee compatibility with runtime used behind the scenes.
-
-### Repository Structure
-
-The repository is organized as follows:
-- The `.pte` file should be passed to the `modelSource` parameter.
-- The tokenizer for the models is available within the repo root, under `tokenizer.json` and `tokenizer_config.json`

lfm2.5-350M/.gitattributes

@@ -1,38 +0,0 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
-xnnpack/lfm2_5_350m_xnnpack_8w4da.pte filter=lfs diff=lfs merge=lfs -text
-xnnpack/lfm2_5_350m_fp16.pte filter=lfs diff=lfs merge=lfs -text
-xnnpack/lfm2_5_350m_xnnpack_fp16.pte filter=lfs diff=lfs merge=lfs -text

lfm2.5-350M/README.md

@@ -1,26 +0,0 @@
----
-license: other
-license_name: lfm1.0
-license_link: https://huggingface.co/LiquidAI/LFM2.5-350M/blob/main/LICENSE
-pipeline_tag: text-generation
-tags:
-- executorch
-- liquid
-- lfm2.5
-- edge
----
-# Introduction
-
-This repository hosts the **LFM2.5-350M** model for the [React Native ExecuTorch](https://www.npmjs.com/package/react-native-executorch) library. It includes **quantized** version of it in `.pte` format, ready for use in the **ExecuTorch** runtime.
-
-If you'd like to run these models in your own ExecuTorch runtime, refer to the [official documentation](https://pytorch.org/executorch/stable/index.html) for setup instructions.
-
-## Compatibility
-
-If you intend to use this model outside of React Native ExecuTorch, make sure your runtime is compatible with the **ExecuTorch** version used to export the `.pte` files. For more details, see the compatibility note in the [ExecuTorch GitHub repository](https://github.com/pytorch/executorch/blob/11d1742fdeddcf05bc30a6cfac321d2a2e3b6768/runtime/COMPATIBILITY.md?plain=1#L4). If you work with React Native ExecuTorch, the constants from the library will  guarantee compatibility with runtime used behind the scenes.
-
-### Repository Structure
-
-The repository is organized as follows:
-- The `.pte` file should be passed to the `modelSource` parameter.
-- The tokenizer for the models is available within the repo root, under `tokenizer.json` and `tokenizer_config.json`

lfm2.5-VL-1.6B/.gitattributes

@@ -1,36 +0,0 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
-quantized/lfm2_5_vl_1_6b_8da4w_xnnpack.pte filter=lfs diff=lfs merge=lfs -text

lfm2.5-VL-1.6B/README.md

@@ -1,29 +0,0 @@
----
-license: other
-license_name: lfm1.0
-license_link: https://huggingface.co/LiquidAI/LFM2.5-VL-1.6B/blob/main/LICENSE
-pipeline_tag: image-text-to-text
-tags:
-- liquid
-- lfm2
-- lfm2-vl
-- edge
-- lfm2.5-vl
-- lfm2.5
----
-
-# Introduction
-
-This repository hosts the **LFM2.5-VL-1.6B** vision-language model for the [React Native ExecuTorch](https://www.npmjs.com/package/react-native-executorch) library. It includes a **quantized** version in `.pte` format, ready for use in the **ExecuTorch** runtime.
-
-If you'd like to run these models in your own ExecuTorch runtime, refer to the [official documentation](https://pytorch.org/executorch/stable/index.html) for setup instructions.
-
-## Compatibility
-
-If you intend to use this model outside of React Native ExecuTorch, make sure your runtime is compatible with the **ExecuTorch** version used to export the `.pte` files. For more details, see the compatibility note in the [ExecuTorch GitHub repository](https://github.com/pytorch/executorch/blob/11d1742fdeddcf05bc30a6cfac321d2a2e3b6768/runtime/COMPATIBILITY.md?plain=1#L4). If you work with React Native ExecuTorch, the constants from the library will guarantee compatibility with the runtime used behind the scenes.
-
-## Repository Structure
-
-The repository is organized as follows:
-- The `.pte` file should be passed to the `modelSource` parameter.
-- The tokenizer files are available in the repo root: `tokenizer.json` and `tokenizer_config.json` should be passed to `tokenizerSource` and `tokenizerConfigSource` respectively.