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https://github.com/ggerganov/llama.cpp.git
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convert : add support for Roberta embeddings (#10695)
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Sukriti Sharma
GitHub
parent
c5ede3849f
commit
784a14aa49
@ -661,6 +661,9 @@ class Model:
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if chkhsh == "1431a23e583c97432bc230bff598d103ddb5a1f89960c8f1d1051aaa944d0b35":
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# ref: https://huggingface.co/sapienzanlp/Minerva-7B-base-v1.0
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res = "minerva-7b"
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if chkhsh == "8b5a93ed704057481f240da0be7e7dca721d7f8f4755263b6807227a2cbeae65":
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# ref: https://huggingface.co/sentence-transformers/stsb-roberta-base
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res = "roberta-bpe"
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if res is None:
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logger.warning("\n")
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@ -2533,7 +2536,7 @@ class InternLM2Model(Model):
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return [(self.map_tensor_name(name), data_torch)]
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@Model.register("BertModel", "CamembertModel")
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@Model.register("BertModel", "CamembertModel", "RobertaModel")
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class BertModel(Model):
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model_arch = gguf.MODEL_ARCH.BERT
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@ -2574,7 +2577,8 @@ class BertModel(Model):
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# we need this to validate the size of the token_type embeddings
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# though currently we are passing all zeros to the token_type embeddings
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self.gguf_writer.add_token_type_count(2) # "Sequence A" or "Sequence B"
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# "Sequence A" or "Sequence B"
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self.gguf_writer.add_token_type_count(self.hparams.get("type_vocab_size", 1))
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# convert to phantom space vocab
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def phantom(tok):
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@ -103,6 +103,7 @@ models = [
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{"name": "phi-2", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/microsoft/phi-2", },
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{"name": "chameleon", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/facebook/chameleon-7b", },
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{"name": "minerva-7b", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/sapienzanlp/Minerva-7B-base-v1.0", },
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{"name": "roberta-bpe", "tokt": TOKENIZER_TYPE.BPE, "repo": "https://huggingface.co/sentence-transformers/stsb-roberta-base"},
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]
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112
models/ggml-vocab-roberta-bpe.gguf.inp
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112
models/ggml-vocab-roberta-bpe.gguf.inp
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@ -0,0 +1,112 @@
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ied 4 ½ months
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__ggml_vocab_test__
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Führer
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__ggml_vocab_test__
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__ggml_vocab_test__
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__ggml_vocab_test__
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__ggml_vocab_test__
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__ggml_vocab_test__
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__ggml_vocab_test__
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__ggml_vocab_test__
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__ggml_vocab_test__
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__ggml_vocab_test__
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__ggml_vocab_test__
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Hello world
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__ggml_vocab_test__
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Hello world
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__ggml_vocab_test__
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Hello World
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__ggml_vocab_test__
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Hello World
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__ggml_vocab_test__
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Hello World!
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__ggml_vocab_test__
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Hello, world!
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__ggml_vocab_test__
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Hello, world!
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__ggml_vocab_test__
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this is 🦙.cpp
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__ggml_vocab_test__
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w048 7tuijk dsdfhu
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__ggml_vocab_test__
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нещо на Български
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__ggml_vocab_test__
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កាន់តែពិសេសអាចខលចេញ
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__ggml_vocab_test__
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🚀 (normal) 😶🌫️ (multiple emojis concatenated) ✅ (only emoji that has its own token)
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__ggml_vocab_test__
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Hello
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__ggml_vocab_test__
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Hello
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__ggml_vocab_test__
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Hello
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__ggml_vocab_test__
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Hello
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__ggml_vocab_test__
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Hello
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__ggml_vocab_test__
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Hello
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Hello
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__ggml_vocab_test__
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(
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__ggml_vocab_test__
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=
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__ggml_vocab_test__
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' era
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__ggml_vocab_test__
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Hello, y'all! How are you 😁 ?我想在apple工作1314151天～
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__ggml_vocab_test__
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!!!!!!
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__ggml_vocab_test__
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3
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__ggml_vocab_test__
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33
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__ggml_vocab_test__
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333
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__ggml_vocab_test__
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3333
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__ggml_vocab_test__
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33333
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__ggml_vocab_test__
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333333
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__ggml_vocab_test__
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3333333
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__ggml_vocab_test__
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33333333
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__ggml_vocab_test__
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333333333
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__ggml_vocab_test__
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Cửa Việt
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__ggml_vocab_test__
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discards
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__ggml_vocab_test__
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🚀 (normal) 😶🌫️ (multiple emojis concatenated) ✅ 🦙🦙 3 33 333 3333 33333 333333 3333333 33333333 3.3 3..3 3...3 កាន់តែពិសេសអាច😁 ?我想在apple工作1314151天～ ------======= нещо на Български ''''''```````""""......!!!!!!?????? I've been 'told he's there, 'RE you sure? 'M not sure I'll make it, 'D you like some tea? We'Ve a'lL
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__ggml_vocab_test__
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46
models/ggml-vocab-roberta-bpe.gguf.out
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46
models/ggml-vocab-roberta-bpe.gguf.out
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@ -0,0 +1,46 @@
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2550 204 18430 377
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597 2768 298 8564
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1437
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36
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108 3567
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31414 6 1423 108 1250 328 1336 32 47 17841 10172 17487 47876 3602 48617 15264 46537 11423 27326 48494 8210 49233 1558 1570 27761 49429 43251 10809 17772
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32376 12846
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9553 5954
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