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

README.md

@@ -2,13 +2,13 @@
 pipeline_tag: text-generation
 license: gemma
 base_model: google/gemma-7b-it
-library_name: kerasformers
+library_name: zeromodels
 extra_gated_heading: Access Gemma on Hugging Face
 language:
 - en
 tags:
 - keras
-- kerasformers
+- zeromodels
 - gemma
 - gemma-7b
 - text-generation
@@ -18,13 +18,13 @@ tags:
 - tf
 ---
 
-## ***See [our collection](https://huggingface.co/collections/kerasformers/gemma-6a69aaecae0f1f518733ffa1) for all versions of Gemma.***
+## ***See [our collection](https://huggingface.co/collections/zeromodels/gemma-6a69aaecae0f1f518733ffa1) for all versions of Gemma.***
 
 # Run Gemma with Keras 3: JAX, PyTorch, or TensorFlow
 
-[![GitHub](https://img.shields.io/badge/GitHub-KerasFormers-black?logo=github)](https://github.com/IMvision12/KerasFormers) [![Docs](https://img.shields.io/badge/Docs-Gemma-blue)](https://imvision12.github.io/KerasFormers/gemma/) [![Collection](https://img.shields.io/badge/HF-Gemma%20collection-yellow)](https://huggingface.co/collections/kerasformers/gemma-6a69aaecae0f1f518733ffa1)
+[![GitHub](https://img.shields.io/badge/GitHub-ZeroModels-black?logo=github)](https://github.com/IMvision12/ZeroModels) [![Docs](https://img.shields.io/badge/Docs-Gemma-blue)](https://imvision12.github.io/ZeroModels/gemma/) [![Collection](https://img.shields.io/badge/HF-Gemma%20collection-yellow)](https://huggingface.co/collections/zeromodels/gemma-6a69aaecae0f1f518733ffa1)
 
-# kerasformers/gemma-7b-it
+# zeromodels/gemma-7b-it
 
 Paper: [Gemma: Open Models Based on Gemini Research and Technology (arXiv:2403.08295)](https://arxiv.org/abs/2403.08295) · [HF Papers](https://huggingface.co/papers/2403.08295)
 
@@ -32,7 +32,7 @@ Gemma is Google's open decoder-only LLM family (RMSNorm, GeGLU, RoPE, multi-quer
 
 For more details on the model, please go to Google's original [model card](https://huggingface.co/google/gemma-7b-it).
 
-Pure-**Keras 3** conversion of [`google/gemma-7b-it`](https://huggingface.co/google/gemma-7b-it) for [kerasformers](https://github.com/IMvision12/KerasFormers). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
+Pure-**Keras 3** conversion of [`google/gemma-7b-it`](https://huggingface.co/google/gemma-7b-it) for [zeromodels](https://github.com/IMvision12/ZeroModels). One implementation runs unmodified on **TensorFlow / Torch / JAX**.
 
 This is an **instruction-tuned** checkpoint: use the chat template via `GemmaTokenizer`.
 
@@ -42,10 +42,10 @@ This is an **instruction-tuned** checkpoint: use the chat template via `GemmaTok
 import os
 os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"
 
-from kerasformers.models.gemma import GemmaTextGenerate, GemmaTokenizer
+from zeromodels.models.gemma import GemmaTextGenerate, GemmaTokenizer
 
-model = GemmaTextGenerate.from_weights("kerasformers/gemma-7b-it")
-tokenizer = GemmaTokenizer.from_weights("kerasformers/gemma-7b-it")
+model = GemmaTextGenerate.from_weights("zeromodels/gemma-7b-it")
+tokenizer = GemmaTokenizer.from_weights("zeromodels/gemma-7b-it")
 
 inputs = tokenizer([
     {"role": "user", "content": "Explain rotary embeddings in one sentence."}
@@ -54,23 +54,23 @@ outputs = model.generate(**inputs, max_new_tokens=64)
 print(tokenizer.decode(outputs[0]))
 ```
 
-Load any Gemma v1 variant the same way with `from_weights("kerasformers/<variant>")`:
+Load any Gemma v1 variant the same way with `from_weights("zeromodels/<variant>")`:
 
 | Variant | Hub | Type |
 |---|---|---|
-| `gemma-2b` | [`kerasformers/gemma-2b`](https://huggingface.co/kerasformers/gemma-2b) | base |
-| `gemma-2b-it` | [`kerasformers/gemma-2b-it`](https://huggingface.co/kerasformers/gemma-2b-it) | instruct |
-| `gemma-1.1-2b-it` | [`kerasformers/gemma-1.1-2b-it`](https://huggingface.co/kerasformers/gemma-1.1-2b-it) | instruct (1.1) |
-| `gemma-7b` | [`kerasformers/gemma-7b`](https://huggingface.co/kerasformers/gemma-7b) | base |
-| `gemma-7b-it` | [`kerasformers/gemma-7b-it`](https://huggingface.co/kerasformers/gemma-7b-it) | instruct |
-| `gemma-1.1-7b-it` | [`kerasformers/gemma-1.1-7b-it`](https://huggingface.co/kerasformers/gemma-1.1-7b-it) | instruct (1.1) |
+| `gemma-2b` | [`zeromodels/gemma-2b`](https://huggingface.co/zeromodels/gemma-2b) | base |
+| `gemma-2b-it` | [`zeromodels/gemma-2b-it`](https://huggingface.co/zeromodels/gemma-2b-it) | instruct |
+| `gemma-1.1-2b-it` | [`zeromodels/gemma-1.1-2b-it`](https://huggingface.co/zeromodels/gemma-1.1-2b-it) | instruct (1.1) |
+| `gemma-7b` | [`zeromodels/gemma-7b`](https://huggingface.co/zeromodels/gemma-7b) | base |
+| `gemma-7b-it` | [`zeromodels/gemma-7b-it`](https://huggingface.co/zeromodels/gemma-7b-it) | instruct |
+| `gemma-1.1-7b-it` | [`zeromodels/gemma-1.1-7b-it`](https://huggingface.co/zeromodels/gemma-1.1-7b-it) | instruct (1.1) |
 
 ## Tips
 
-- Set `KERAS_BACKEND` **before** importing Keras / kerasformers.
+- Set `KERAS_BACKEND` **before** importing Keras / zeromodels.
 - Prefer `GemmaTokenizer.from_weights(...)` so the chat template matches.
 - Larger checkpoints: try `load_dtype="bfloat16"` or `quantization="int8"`.
-- See [Gemma docs](https://imvision12.github.io/KerasFormers/gemma/) and [Loading Weights](https://imvision12.github.io/KerasFormers/loading_weights/).
+- See [Gemma docs](https://imvision12.github.io/ZeroModels/gemma/) and [Loading Weights](https://imvision12.github.io/ZeroModels/loading_weights/).
 - Community / upstream safetensors still work via the `hf:` prefix, e.g. `GemmaTextGenerate.from_weights("hf:google/gemma-7b-it")`.
 
 ## Special Thanks

kf_config.json → zm_config.json

@@ -1,7 +1,7 @@
 {
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.2.1",
-  "model_module": "kerasformers.models.gemma",
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.2.1",
+  "model_module": "zeromodels.models.gemma",
   "model_class": "GemmaTextGenerate",
   "variant": "gemma-7b-it",
   "weights": "model.weights.json",