Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* 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
+assets/tokenizer/vocabulary.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,16 @@
+---
+library_name: keras-hub
+---
+This is a [`Bloom` model](https://keras.io/api/keras_hub/models/bloom) uploaded using the KerasHub library and can be used with JAX, TensorFlow, and PyTorch backends.
+Model config:
+* **name:** bloom_backbone
+* **trainable:** True
+* **vocabulary_size:** 250880
+* **num_layers:** 24
+* **num_heads:** 16
+* **hidden_dim:** 1024
+* **intermediate_dim:** 4096
+* **dropout:** 0.0
+* **layer_norm_epsilon:** 1e-05
+
+This model card has been generated automatically and should be completed by the model author. See [Model Cards documentation](https://huggingface.co/docs/hub/model-cards) for more information.

assets/tokenizer/vocabulary.json

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+oid sha256:9ff6ac5e94603046dd127cc00bf9b3e45a6ea15b97ccc59e7c8c621e897a746e
+size 12497274

config.json

@@ -0,0 +1,18 @@
+{
+    "module": "keras_nlp.src.models.bloom.bloom_backbone",
+    "class_name": "BloomBackbone",
+    "config": {
+        "name": "bloom_backbone",
+        "trainable": true,
+        "vocabulary_size": 250880,
+        "num_layers": 24,
+        "num_heads": 16,
+        "hidden_dim": 1024,
+        "intermediate_dim": 4096,
+        "dropout": 0.0,
+        "layer_norm_epsilon": 1e-05
+    },
+    "registered_name": "keras_nlp>BloomBackbone",
+    "assets": [],
+    "weights": "model.weights.h5"
+}

metadata.json

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+{
+    "keras_version": "3.0.5",
+    "keras_nlp_version": "0.8.0",
+    "parameter_count": 559214592,
+    "date_saved": "2024-02-27@22:18:55"
+}

model.weights.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fc64628a7198690852cc7dcf6971d4a23bc66efbde0408889b9e8fe1bfeaa9ba
+size 1119209920

tokenizer.json

@@ -0,0 +1,17 @@
+{
+    "module": "keras_nlp.src.models.bloom.bloom_tokenizer",
+    "class_name": "BloomTokenizer",
+    "config": {
+        "name": "bloom_tokenizer",
+        "trainable": true,
+        "dtype": "int32",
+        "sequence_length": null,
+        "add_prefix_space": false
+    },
+    "registered_name": "keras_nlp>BloomTokenizer",
+    "assets": [
+        "assets/tokenizer/vocabulary.json",
+        "assets/tokenizer/merges.txt"
+    ],
+    "weights": null
+}