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-2-27b
-library_name: kerasformers
+library_name: zeromodels
 extra_gated_heading: Access Gemma on Hugging Face
 language:
 - en
 tags:
 - keras
-- kerasformers
+- zeromodels
 - gemma2
 - gemma
 - gemma-2-27b
@@ -19,16 +19,16 @@ tags:
 - tf
 ---
 
-*See [our collection](https://huggingface.co/kerasformers) for all Gemma 2 sizes and variants.*
+*See [our collection](https://huggingface.co/zeromodels) for all Gemma 2 sizes and variants.*
 
 # Run Gemma 2 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-Gemma_2-1f6feb)](https://imvision12.github.io/KerasFormers/gemma2/) [![HuggingFace](https://img.shields.io/badge/HuggingFace-Gemma_2-ffd21e?logo=huggingface&logoColor=black)](https://huggingface.co/kerasformers)
+[![GitHub](https://img.shields.io/badge/GitHub-ZeroModels-181717?logo=github)](https://github.com/IMvision12/ZeroModels) [![Docs](https://img.shields.io/badge/Docs-Gemma_2-1f6feb)](https://imvision12.github.io/ZeroModels/gemma2/) [![HuggingFace](https://img.shields.io/badge/HuggingFace-Gemma_2-ffd21e?logo=huggingface&logoColor=black)](https://huggingface.co/zeromodels)
 
-# kerasformers/gemma-2-27b
+# zeromodels/gemma-2-27b
 
 Pure-**Keras 3** conversion of [`google/gemma-2-27b`](https://huggingface.co/google/gemma-2-27b) for
-[kerasformers](https://github.com/IMvision12/KerasFormers). One implementation runs unmodified on
+[zeromodels](https://github.com/IMvision12/ZeroModels). One implementation runs unmodified on
 **TensorFlow / Torch / JAX**. This is a base (pretrained) checkpoint, served here as **text -> text** via `Gemma2TextGenerate`; weights are
 stored in **bfloat16**.
 
@@ -41,33 +41,33 @@ For model details, license, and usage terms, see Google's
 import os
 os.environ["KERAS_BACKEND"] = "torch"  # or "jax" / "tensorflow"
 
-from kerasformers.models.gemma2 import Gemma2TextGenerate, Gemma2Tokenizer
+from zeromodels.models.gemma2 import Gemma2TextGenerate, Gemma2Tokenizer
 
-model = Gemma2TextGenerate.from_weights("kerasformers/gemma-2-27b")
-tokenizer = Gemma2Tokenizer.from_weights("kerasformers/gemma-2-27b")
+model = Gemma2TextGenerate.from_weights("zeromodels/gemma-2-27b")
+tokenizer = Gemma2Tokenizer.from_weights("zeromodels/gemma-2-27b")
 
 inputs = tokenizer([{"role": "user", "content": "Hello, who are you?"}])
 outputs = model.generate(**inputs, max_new_tokens=64)
 print(tokenizer.decode(outputs[0]))
 ```
 
-Load any Gemma 2 variant the same way with `from_weights("kerasformers/<variant>")`:
+Load any Gemma 2 variant the same way with `from_weights("zeromodels/<variant>")`:
 
 | Variant | Hub |
 | --- | --- |
-| `gemma-2-27b` | [kerasformers/gemma-2-27b](https://huggingface.co/kerasformers/gemma-2-27b) |
-| `gemma-2-27b-it` | [kerasformers/gemma-2-27b-it](https://huggingface.co/kerasformers/gemma-2-27b-it) |
-| `gemma-2-2b` | [kerasformers/gemma-2-2b](https://huggingface.co/kerasformers/gemma-2-2b) |
-| `gemma-2-2b-it` | [kerasformers/gemma-2-2b-it](https://huggingface.co/kerasformers/gemma-2-2b-it) |
-| `gemma-2-9b` | [kerasformers/gemma-2-9b](https://huggingface.co/kerasformers/gemma-2-9b) |
-| `gemma-2-9b-it` | [kerasformers/gemma-2-9b-it](https://huggingface.co/kerasformers/gemma-2-9b-it) |
+| `gemma-2-27b` | [zeromodels/gemma-2-27b](https://huggingface.co/zeromodels/gemma-2-27b) |
+| `gemma-2-27b-it` | [zeromodels/gemma-2-27b-it](https://huggingface.co/zeromodels/gemma-2-27b-it) |
+| `gemma-2-2b` | [zeromodels/gemma-2-2b](https://huggingface.co/zeromodels/gemma-2-2b) |
+| `gemma-2-2b-it` | [zeromodels/gemma-2-2b-it](https://huggingface.co/zeromodels/gemma-2-2b-it) |
+| `gemma-2-9b` | [zeromodels/gemma-2-9b](https://huggingface.co/zeromodels/gemma-2-9b) |
+| `gemma-2-9b-it` | [zeromodels/gemma-2-9b-it](https://huggingface.co/zeromodels/gemma-2-9b-it) |
 
 ## Tips
 
-- Set `KERAS_BACKEND` **before** importing Keras / kerasformers.
+- Set `KERAS_BACKEND` **before** importing Keras / zeromodels.
 - Loads in **bfloat16** by default. Pass `load_dtype="float32"` for full precision,
   or `quantization="int8"` to shrink further.
-- See the [Gemma 2 docs](https://imvision12.github.io/KerasFormers/gemma2/).
+- See the [Gemma 2 docs](https://imvision12.github.io/ZeroModels/gemma2/).
 - Community / upstream weights still work via the `hf:` prefix:
   `Gemma2TextGenerate.from_weights("hf:google/gemma-2-27b")`.
 

kf_config.json → zm_config.json

@@ -1,7 +1,7 @@
 {
-  "library_name": "kerasformers",
-  "kerasformers_version": "1.2.1",
-  "model_module": "kerasformers.models.gemma2",
+  "library_name": "zeromodels",
+  "zeromodels_version": "1.2.1",
+  "model_module": "zeromodels.models.gemma2",
   "model_class": "Gemma2TextGenerate",
   "variant": "gemma-2-27b",
   "weights": "model.weights.json",