Migrate to zeromodels (rename kf_*.json -> zm_*.json, fix refs in config + README, ensure tag + badge)

README.md

@@ -1,65 +1,65 @@
----
-pipeline_tag: image-text-to-text
-license: other
-license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
-base_model: OpenGVLab/InternVL3-78B-hf
-library_name: kerasformers
-language:
-- en
-tags:
-- keras
-- kerasformers
-- internvl
-- internvl3
-- multimodal
-- vision
-- image-text-to-text
-- pytorch
-- jax
-- tf
-license_name: qwen
----
-
-# Run InternVL3 with Keras 3: JAX, PyTorch, or TensorFlow
-
-[![GitHub](https://img.shields.io/badge/GitHub-KerasFormers-181717?logo=github)](https://github.com/IMvision12/KerasFormers) [![Docs](https://img.shields.io/badge/Docs-InternVL-1f6feb)](https://imvision12.github.io/KerasFormers/internvl/) [![HuggingFace](https://img.shields.io/badge/HuggingFace-InternVL-ffd21e?logo=huggingface&logoColor=black)](https://huggingface.co/collections/kerasformers/internvl-6a8277076dbb163f53241dbd)
-
-# kerasformers/internvl3-78b
-
-Pure-**Keras 3** conversion of [`OpenGVLab/InternVL3-78B-hf`](https://huggingface.co/OpenGVLab/InternVL3-78B-hf) for [kerasformers](https://github.com/IMvision12/KerasFormers). One implementation runs unmodified on **TensorFlow / Torch / JAX**. This is a **InternVL3** checkpoint, served as **image + text -> text** via `InternVLProcessor`; weights are stored in **bfloat16**.
-
-For model details, license, and usage terms, see the upstream [model card](https://huggingface.co/OpenGVLab/InternVL3-78B-hf).
-
-Paper: [InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models (arXiv:2504.10479)](https://arxiv.org/abs/2504.10479) · [HF Papers](https://huggingface.co/papers/2504.10479)
-
-Paper: [Qwen2.5 Technical Report (arXiv:2412.15115)](https://arxiv.org/abs/2412.15115) · [HF Papers](https://huggingface.co/papers/2412.15115)
-
-## ✨ Quick start
-
-```python
-import os
-os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"
-
-from PIL import Image
-from kerasformers.models.internvl import InternVLConditionalGenerate, InternVLProcessor
-
-model = InternVLConditionalGenerate.from_weights("kerasformers/internvl3-78b")
-processor = InternVLProcessor.from_weights("kerasformers/internvl3-78b")
-
-inputs = processor(conversation=[
-    {"role": "user", "content": [
-        {"type": "image", "image": Image.open("photo.jpg")},
-        {"type": "text", "text": "Describe this image in one sentence."},
-    ]}
-])
-outputs = model.generate(**inputs, max_new_tokens=64)
-print(processor.decode(outputs[0]))
-```
-
-Load any InternVL variant the same way with `from_weights("kerasformers/<variant>")`. Browse them all in the [InternVL collection](https://huggingface.co/collections/kerasformers/internvl-6a8277076dbb163f53241dbd).
-
-## Special Thanks
-
-A huge thank you to the OpenGVLab team for creating and releasing the InternVL models.
-
-License: see the [upstream license](https://huggingface.co/OpenGVLab/InternVL3-78B-hf/blob/main/LICENSE).
+---
+pipeline_tag: image-text-to-text
+license: other
+license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
+base_model: OpenGVLab/InternVL3-78B-hf
+library_name: zeromodels
+language:
+- en
+tags:
+- keras
+- zeromodels
+- internvl
+- internvl3
+- multimodal
+- vision
+- image-text-to-text
+- pytorch
+- jax
+- tf
+license_name: qwen
+---
+
+# Run InternVL3 with Keras 3: JAX, PyTorch, or TensorFlow
+
+[![GitHub](https://img.shields.io/badge/GitHub-ZeroModels-181717?logo=github)](https://github.com/IMvision12/ZeroModels) [![Docs](https://img.shields.io/badge/Docs-InternVL-1f6feb)](https://imvision12.github.io/ZeroModels/internvl/) [![HuggingFace](https://img.shields.io/badge/HuggingFace-InternVL-ffd21e?logo=huggingface&logoColor=black)](https://huggingface.co/collections/zeromodels/internvl-6a8277076dbb163f53241dbd)
+
+# zeromodels/internvl3-78b
+
+Pure-**Keras 3** conversion of [`OpenGVLab/InternVL3-78B-hf`](https://huggingface.co/OpenGVLab/InternVL3-78B-hf) for [zeromodels](https://github.com/IMvision12/ZeroModels). One implementation runs unmodified on **TensorFlow / Torch / JAX**. This is a **InternVL3** checkpoint, served as **image + text -> text** via `InternVLProcessor`; weights are stored in **bfloat16**.
+
+For model details, license, and usage terms, see the upstream [model card](https://huggingface.co/OpenGVLab/InternVL3-78B-hf).
+
+Paper: [InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models (arXiv:2504.10479)](https://arxiv.org/abs/2504.10479) · [HF Papers](https://huggingface.co/papers/2504.10479)
+
+Paper: [Qwen2.5 Technical Report (arXiv:2412.15115)](https://arxiv.org/abs/2412.15115) · [HF Papers](https://huggingface.co/papers/2412.15115)
+
+## ✨ Quick start
+
+```python
+import os
+os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"
+
+from PIL import Image
+from zeromodels.models.internvl import InternVLConditionalGenerate, InternVLProcessor
+
+model = InternVLConditionalGenerate.from_weights("zeromodels/internvl3-78b")
+processor = InternVLProcessor.from_weights("zeromodels/internvl3-78b")
+
+inputs = processor(conversation=[
+    {"role": "user", "content": [
+        {"type": "image", "image": Image.open("photo.jpg")},
+        {"type": "text", "text": "Describe this image in one sentence."},
+    ]}
+])
+outputs = model.generate(**inputs, max_new_tokens=64)
+print(processor.decode(outputs[0]))
+```
+
+Load any InternVL variant the same way with `from_weights("zeromodels/<variant>")`. Browse them all in the [InternVL collection](https://huggingface.co/collections/zeromodels/internvl-6a8277076dbb163f53241dbd).
+
+## Special Thanks
+
+A huge thank you to the OpenGVLab team for creating and releasing the InternVL models.
+
+License: see the [upstream license](https://huggingface.co/OpenGVLab/InternVL3-78B-hf/blob/main/LICENSE).

kf_config.json → zm_config.json

@@ -1,7 +1,7 @@
 {
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.2.4",
-  "model_module": "kerasformers.models.internvl",
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.2.4",
+  "model_module": "zeromodels.models.internvl",
   "model_class": "InternVLConditionalGenerate",
   "variant": "internvl3-78b",
   "weights": "model.weights.json",

kf_preprocessor.json → zm_preprocessor.json

@@ -1,7 +1,7 @@
 {
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.2.4",
-  "preprocessor_module": "kerasformers.models.internvl",
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.2.4",
+  "preprocessor_module": "zeromodels.models.internvl",
   "preprocessor_class": "InternVLImageProcessor",
   "variant": "internvl3-78b",
   "size": 448,