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

README.md

@@ -2,12 +2,12 @@
 pipeline_tag: image-text-to-text
 license: apache-2.0
 base_model: Qwen/Qwen3.5-4B-Base
-library_name: kerasformers
+library_name: zeromodels
 language:
 - en
 tags:
 - keras
-- kerasformers
+- zeromodels
 - qwen3_5
 - qwen
 - multimodal
@@ -20,11 +20,11 @@ tags:
 
 # Run Qwen3.5 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-Qwen3.5-1f6feb)](https://imvision12.github.io/KerasFormers/qwen3_5/) [![HuggingFace](https://img.shields.io/badge/HuggingFace-Qwen3.5%20collection-ffd21e?logo=huggingface&logoColor=black)](https://huggingface.co/collections/kerasformers/qwen35-6a7e5421737d73e63669ebb9)
+[![GitHub](https://img.shields.io/badge/GitHub-ZeroModels-181717?logo=github)](https://github.com/IMvision12/ZeroModels) [![Docs](https://img.shields.io/badge/Docs-Qwen3.5-1f6feb)](https://imvision12.github.io/ZeroModels/qwen3_5/) [![HuggingFace](https://img.shields.io/badge/HuggingFace-Qwen3.5%20collection-ffd21e?logo=huggingface&logoColor=black)](https://huggingface.co/collections/zeromodels/qwen35-6a7e5421737d73e63669ebb9)
 
-# kerasformers/qwen3.5-4b-base
+# zeromodels/qwen3.5-4b-base
 
-Pure-**Keras 3** conversion of [`Qwen/Qwen3.5-4B-Base`](https://huggingface.co/Qwen/Qwen3.5-4B-Base) for [kerasformers](https://github.com/IMvision12/KerasFormers). One implementation runs unmodified on **TensorFlow / Torch / JAX**. Qwen3.5 is a native vision-language model: a Qwen3-VL vision tower + a dense Gated-DeltaNet / gated-full-attention hybrid text decoder. Weights are stored in **bfloat16**.
+Pure-**Keras 3** conversion of [`Qwen/Qwen3.5-4B-Base`](https://huggingface.co/Qwen/Qwen3.5-4B-Base) for [zeromodels](https://github.com/IMvision12/ZeroModels). One implementation runs unmodified on **TensorFlow / Torch / JAX**. Qwen3.5 is a native vision-language model: a Qwen3-VL vision tower + a dense Gated-DeltaNet / gated-full-attention hybrid text decoder. Weights are stored in **bfloat16**.
 
 This repo hosts the full VLM. Load it with **`Qwen3_5ConditionalGenerate`** for image + text, or with **`Qwen3_5TextGenerate`** for text-only (it reads just the language model and drops the vision tower, like transformers' `Qwen3_5ForCausalLM`).
 
@@ -37,19 +37,19 @@ import os
 os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"
 
 # --- text-only (loads just the language model, like transformers' Qwen3_5ForCausalLM) ---
-from kerasformers.models.qwen3_5 import Qwen3_5TextGenerate, Qwen3_5Tokenizer
+from zeromodels.models.qwen3_5 import Qwen3_5TextGenerate, Qwen3_5Tokenizer
 
-model = Qwen3_5TextGenerate.from_weights("kerasformers/qwen3.5-4b-base")
-tokenizer = Qwen3_5Tokenizer.from_weights("kerasformers/qwen3.5-4b-base")
+model = Qwen3_5TextGenerate.from_weights("zeromodels/qwen3.5-4b-base")
+tokenizer = Qwen3_5Tokenizer.from_weights("zeromodels/qwen3.5-4b-base")
 outputs = model.generate(**tokenizer("The capital of France is"), max_new_tokens=32)
 print(tokenizer.decode(outputs[0]))
 
 # --- image + text (the full vision-language model) ---
 from PIL import Image
-from kerasformers.models.qwen3_5 import Qwen3_5ConditionalGenerate, Qwen3_5Processor
+from zeromodels.models.qwen3_5 import Qwen3_5ConditionalGenerate, Qwen3_5Processor
 
-model = Qwen3_5ConditionalGenerate.from_weights("kerasformers/qwen3.5-4b-base")
-processor = Qwen3_5Processor.from_weights("kerasformers/qwen3.5-4b-base")
+model = Qwen3_5ConditionalGenerate.from_weights("zeromodels/qwen3.5-4b-base")
+processor = Qwen3_5Processor.from_weights("zeromodels/qwen3.5-4b-base")
 inputs = processor(conversation=[
     {"role": "user", "content": [
         {"type": "image", "image": Image.open("photo.jpg")},

kf_config.json → zm_config.json

@@ -1,7 +1,7 @@
 {
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.2.3",
-  "model_module": "kerasformers.models.qwen3_5",
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.2.3",
+  "model_module": "zeromodels.models.qwen3_5",
   "model_class": "Qwen3_5ConditionalGenerate",
   "variant": "qwen3.5-4b-base",
   "weights": "model.weights.json",

kf_preprocessor.json → zm_preprocessor.json

@@ -1,7 +1,7 @@
 {
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.2.3",
-  "preprocessor_module": "kerasformers.models.qwen2_vl",
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.2.3",
+  "preprocessor_module": "zeromodels.models.qwen2_vl",
   "preprocessor_class": "Qwen2VLImageProcessor",
   "variant": "qwen3.5-4b-base",
   "patch_size": 14,