Upload 13 files
Browse files- added_tokens.json +3 -0
- config.json +30 -0
- generation_config.json +8 -0
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +100 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +290 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +52 -0
added_tokens.json
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{
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"[PAD]": 32000
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}
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config.json
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{
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"_name_or_path": "/media/ecomm/c0889304-9e30-4f04-b290-c7db463872c6/Models/Pytorch/Psyonic-Rose-20B-Higher-Quality",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13824,
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"max_position_embeddings": 4096,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 40,
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"num_hidden_layers": 62,
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"num_key_value_heads": 40,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"transformers_version": "4.45.0.dev0",
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"use_cache": false,
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"vocab_size": 32000
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"transformers_version": "4.45.0.dev0",
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"use_cache": false
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}
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openvino_detokenizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:df97d7ffbee4ac0ca3a6b740b2bac476c9b1cc003c040430e5118fc5e03fad75
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size 499739
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openvino_detokenizer.xml
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<?xml version="1.0"?>
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<net name="detokenizer" version="11">
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<layers>
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<layer id="0" name="Parameter_284905" type="Parameter" version="opset1">
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<data shape="?,?" element_type="i64" />
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<output>
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<port id="0" precision="I64" names="Parameter_284905">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="1" name="Constant_284881" type="Const" version="opset1">
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<data element_type="u8" shape="499739" offset="0" size="499739" />
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<output>
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<port id="0" precision="U8">
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<dim>499739</dim>
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</port>
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</output>
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</layer>
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<layer id="2" name="Convert_284915" type="Convert" version="opset1">
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<data destination_type="i32" />
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<input>
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<port id="0" precision="I64">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="SentencepieceDetokenizer_284906" type="SentencepieceDetokenizer" version="extension">
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<input>
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<port id="0" precision="U8">
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<dim>499739</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="3" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="4" precision="U8">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="4" name="StringTensorPack_284907" type="StringTensorPack" version="extension">
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<data mode="begins_ends" />
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="2" precision="U8">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="3" precision="STRING" names="string_output">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="5" name="Result_284908" type="Result" version="opset1">
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<input>
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<port id="0" precision="STRING">
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<dim>-1</dim>
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</port>
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</input>
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</layer>
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</layers>
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<edges>
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<edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
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<edge from-layer="1" from-port="0" to-layer="3" to-port="0" />
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<edge from-layer="2" from-port="1" to-layer="3" to-port="1" />
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<edge from-layer="3" from-port="2" to-layer="4" to-port="0" />
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<edge from-layer="3" from-port="3" to-layer="4" to-port="1" />
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<edge from-layer="3" from-port="4" to-layer="4" to-port="2" />
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<edge from-layer="4" from-port="3" to-layer="5" to-port="0" />
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</edges>
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<rt_info>
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<bos_token_id value="1" />
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<eos_token_id value="2" />
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<original_tokenizer_class value="<class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
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<pad_token_id value="32000" />
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</rt_info>
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</net>
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openvino_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:fd428fbdaa3a0f50d27e3b25d4fddffa6f992af0b5389936fdd705abd2220acd
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size 39988726064
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openvino_model.xml
ADDED
The diff for this file is too large to render.
See raw diff
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openvino_tokenizer.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:1d7d5a8d6950fada47dd082a166d3e7ff3af66e873f06bba85e68fb3821e0e67
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size 499757
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openvino_tokenizer.xml
ADDED
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<?xml version="1.0"?>
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<net name="tokenizer" version="11">
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<layers>
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<layer id="0" name="string_input" type="Parameter" version="opset1">
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<data shape="?" element_type="string" />
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<output>
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<port id="0" precision="STRING" names="string_input">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="1" name="Constant_284884" type="Const" version="opset1">
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<data element_type="i32" shape="" offset="0" size="4" />
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<output>
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<port id="0" precision="I32" />
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</output>
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</layer>
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<layer id="2" name="Constant_284880" type="Const" version="opset1">
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<data element_type="u8" shape="499737" offset="4" size="499737" />
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<output>
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<port id="0" precision="U8">
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<dim>499737</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="SentencepieceTokenizer_284883" type="SentencepieceTokenizer" version="extension">
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<data nbest_size="0" alpha="0" add_bos="true" add_eos="false" reverse="true" />
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<input>
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<port id="0" precision="U8">
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<dim>499737</dim>
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</port>
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<port id="1" precision="STRING">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I64">
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<dim>-1</dim>
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<dim>2</dim>
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</port>
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<port id="3" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="4" precision="I64">
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<dim>2</dim>
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</port>
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</output>
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</layer>
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<layer id="4" name="Broadcast_284885" type="Broadcast" version="opset3">
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<data mode="numpy" />
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<input>
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<port id="0" precision="I32" />
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<port id="1" precision="I64">
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<dim>2</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="5" name="Constant_284886" type="Const" version="opset1">
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<data element_type="i32" shape="" offset="499741" size="4" />
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<output>
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<port id="0" precision="I32" />
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</output>
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</layer>
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<layer id="6" name="ShapeOf_284887" type="ShapeOf" version="opset3">
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<data output_type="i64" />
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="1" precision="I64">
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<dim>1</dim>
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</port>
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</output>
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</layer>
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<layer id="7" name="Broadcast_284888" type="Broadcast" version="opset3">
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<data mode="numpy" />
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<input>
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<port id="0" precision="I32" />
|
87 |
+
<port id="1" precision="I64">
|
88 |
+
<dim>1</dim>
|
89 |
+
</port>
|
90 |
+
</input>
|
91 |
+
<output>
|
92 |
+
<port id="2" precision="I32">
|
93 |
+
<dim>-1</dim>
|
94 |
+
</port>
|
95 |
+
</output>
|
96 |
+
</layer>
|
97 |
+
<layer id="8" name="ScatterNDUpdate_284892" type="ScatterNDUpdate" version="opset4">
|
98 |
+
<input>
|
99 |
+
<port id="0" precision="I32">
|
100 |
+
<dim>-1</dim>
|
101 |
+
<dim>-1</dim>
|
102 |
+
</port>
|
103 |
+
<port id="1" precision="I64">
|
104 |
+
<dim>-1</dim>
|
105 |
+
<dim>2</dim>
|
106 |
+
</port>
|
107 |
+
<port id="2" precision="I32">
|
108 |
+
<dim>-1</dim>
|
109 |
+
</port>
|
110 |
+
</input>
|
111 |
+
<output>
|
112 |
+
<port id="3" precision="I32">
|
113 |
+
<dim>-1</dim>
|
114 |
+
<dim>-1</dim>
|
115 |
+
</port>
|
116 |
+
</output>
|
117 |
+
</layer>
|
118 |
+
<layer id="9" name="Constant_284896" type="Const" version="opset1">
|
119 |
+
<data element_type="i64" shape="1" offset="499745" size="8" />
|
120 |
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<output>
|
121 |
+
<port id="0" precision="I64">
|
122 |
+
<dim>1</dim>
|
123 |
+
</port>
|
124 |
+
</output>
|
125 |
+
</layer>
|
126 |
+
<layer id="10" name="Reverse_284897" type="Reverse" version="opset1">
|
127 |
+
<data mode="index" />
|
128 |
+
<input>
|
129 |
+
<port id="0" precision="I32">
|
130 |
+
<dim>-1</dim>
|
131 |
+
<dim>-1</dim>
|
132 |
+
</port>
|
133 |
+
<port id="1" precision="I64">
|
134 |
+
<dim>1</dim>
|
135 |
+
</port>
|
136 |
+
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|
137 |
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<output>
|
138 |
+
<port id="2" precision="I32">
|
139 |
+
<dim>-1</dim>
|
140 |
+
<dim>-1</dim>
|
141 |
+
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|
142 |
+
</output>
|
143 |
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</layer>
|
144 |
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<layer id="11" name="Reverse_284897" type="Convert" version="opset1">
|
145 |
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|
146 |
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|
147 |
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|
148 |
+
<dim>-1</dim>
|
149 |
+
<dim>-1</dim>
|
150 |
+
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|
151 |
+
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|
152 |
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<output>
|
153 |
+
<port id="1" precision="I64" names="attention_mask">
|
154 |
+
<dim>-1</dim>
|
155 |
+
<dim>-1</dim>
|
156 |
+
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|
157 |
+
</output>
|
158 |
+
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|
159 |
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<layer id="13" name="Constant_284893" type="Const" version="opset1">
|
160 |
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<data element_type="i32" shape="" offset="499753" size="4" />
|
161 |
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<output>
|
162 |
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<port id="0" precision="I32" />
|
163 |
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|
164 |
+
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|
165 |
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<layer id="14" name="Broadcast_284894" type="Broadcast" version="opset3">
|
166 |
+
<data mode="bidirectional" />
|
167 |
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<input>
|
168 |
+
<port id="0" precision="I32" />
|
169 |
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<port id="1" precision="I64">
|
170 |
+
<dim>2</dim>
|
171 |
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</port>
|
172 |
+
</input>
|
173 |
+
<output>
|
174 |
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<port id="2" precision="I32">
|
175 |
+
<dim>-1</dim>
|
176 |
+
<dim>-1</dim>
|
177 |
+
</port>
|
178 |
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</output>
|
179 |
+
</layer>
|
180 |
+
<layer id="15" name="ScatterNDUpdate_284895" type="ScatterNDUpdate" version="opset4">
|
181 |
+
<input>
|
182 |
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<port id="0" precision="I32">
|
183 |
+
<dim>-1</dim>
|
184 |
+
<dim>-1</dim>
|
185 |
+
</port>
|
186 |
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<port id="1" precision="I64">
|
187 |
+
<dim>-1</dim>
|
188 |
+
<dim>2</dim>
|
189 |
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|
190 |
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<port id="2" precision="I32">
|
191 |
+
<dim>-1</dim>
|
192 |
+
</port>
|
193 |
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</input>
|
194 |
+
<output>
|
195 |
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<port id="3" precision="I32">
|
196 |
+
<dim>-1</dim>
|
197 |
+
<dim>-1</dim>
|
198 |
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</port>
|
199 |
+
</output>
|
200 |
+
</layer>
|
201 |
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<layer id="16" name="Constant_284898" type="Const" version="opset1">
|
202 |
+
<data element_type="i64" shape="1" offset="499745" size="8" />
|
203 |
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<output>
|
204 |
+
<port id="0" precision="I64">
|
205 |
+
<dim>1</dim>
|
206 |
+
</port>
|
207 |
+
</output>
|
208 |
+
</layer>
|
209 |
+
<layer id="17" name="Reverse_284899" type="Reverse" version="opset1">
|
210 |
+
<data mode="index" />
|
211 |
+
<input>
|
212 |
+
<port id="0" precision="I32">
|
213 |
+
<dim>-1</dim>
|
214 |
+
<dim>-1</dim>
|
215 |
+
</port>
|
216 |
+
<port id="1" precision="I64">
|
217 |
+
<dim>1</dim>
|
218 |
+
</port>
|
219 |
+
</input>
|
220 |
+
<output>
|
221 |
+
<port id="2" precision="I32">
|
222 |
+
<dim>-1</dim>
|
223 |
+
<dim>-1</dim>
|
224 |
+
</port>
|
225 |
+
</output>
|
226 |
+
</layer>
|
227 |
+
<layer id="18" name="Reverse_284899" type="Convert" version="opset1">
|
228 |
+
<data destination_type="i64" />
|
229 |
+
<input>
|
230 |
+
<port id="0" precision="I32">
|
231 |
+
<dim>-1</dim>
|
232 |
+
<dim>-1</dim>
|
233 |
+
</port>
|
234 |
+
</input>
|
235 |
+
<output>
|
236 |
+
<port id="1" precision="I64" names="input_ids">
|
237 |
+
<dim>-1</dim>
|
238 |
+
<dim>-1</dim>
|
239 |
+
</port>
|
240 |
+
</output>
|
241 |
+
</layer>
|
242 |
+
<layer id="19" name="Result_284900" type="Result" version="opset1">
|
243 |
+
<input>
|
244 |
+
<port id="0" precision="I64">
|
245 |
+
<dim>-1</dim>
|
246 |
+
<dim>-1</dim>
|
247 |
+
</port>
|
248 |
+
</input>
|
249 |
+
</layer>
|
250 |
+
<layer id="12" name="Result_284901" type="Result" version="opset1">
|
251 |
+
<input>
|
252 |
+
<port id="0" precision="I64">
|
253 |
+
<dim>-1</dim>
|
254 |
+
<dim>-1</dim>
|
255 |
+
</port>
|
256 |
+
</input>
|
257 |
+
</layer>
|
258 |
+
</layers>
|
259 |
+
<edges>
|
260 |
+
<edge from-layer="0" from-port="0" to-layer="3" to-port="1" />
|
261 |
+
<edge from-layer="1" from-port="0" to-layer="4" to-port="0" />
|
262 |
+
<edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
|
263 |
+
<edge from-layer="3" from-port="4" to-layer="4" to-port="1" />
|
264 |
+
<edge from-layer="3" from-port="3" to-layer="6" to-port="0" />
|
265 |
+
<edge from-layer="3" from-port="2" to-layer="8" to-port="1" />
|
266 |
+
<edge from-layer="3" from-port="3" to-layer="15" to-port="2" />
|
267 |
+
<edge from-layer="3" from-port="2" to-layer="15" to-port="1" />
|
268 |
+
<edge from-layer="3" from-port="4" to-layer="14" to-port="1" />
|
269 |
+
<edge from-layer="4" from-port="2" to-layer="8" to-port="0" />
|
270 |
+
<edge from-layer="5" from-port="0" to-layer="7" to-port="0" />
|
271 |
+
<edge from-layer="6" from-port="1" to-layer="7" to-port="1" />
|
272 |
+
<edge from-layer="7" from-port="2" to-layer="8" to-port="2" />
|
273 |
+
<edge from-layer="8" from-port="3" to-layer="10" to-port="0" />
|
274 |
+
<edge from-layer="9" from-port="0" to-layer="10" to-port="1" />
|
275 |
+
<edge from-layer="10" from-port="2" to-layer="11" to-port="0" />
|
276 |
+
<edge from-layer="11" from-port="1" to-layer="12" to-port="0" />
|
277 |
+
<edge from-layer="13" from-port="0" to-layer="14" to-port="0" />
|
278 |
+
<edge from-layer="14" from-port="2" to-layer="15" to-port="0" />
|
279 |
+
<edge from-layer="15" from-port="3" to-layer="17" to-port="0" />
|
280 |
+
<edge from-layer="16" from-port="0" to-layer="17" to-port="1" />
|
281 |
+
<edge from-layer="17" from-port="2" to-layer="18" to-port="0" />
|
282 |
+
<edge from-layer="18" from-port="1" to-layer="19" to-port="0" />
|
283 |
+
</edges>
|
284 |
+
<rt_info>
|
285 |
+
<bos_token_id value="1" />
|
286 |
+
<eos_token_id value="2" />
|
287 |
+
<original_tokenizer_class value="<class 'transformers.models.llama.tokenization_llama_fast.LlamaTokenizerFast'>" />
|
288 |
+
<pad_token_id value="32000" />
|
289 |
+
</rt_info>
|
290 |
+
</net>
|
special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": true,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": true,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "[PAD]",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": true,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
3 |
+
size 499723
|
tokenizer_config.json
ADDED
@@ -0,0 +1,52 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": null,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": true,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": true,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": true,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
},
|
30 |
+
"32000": {
|
31 |
+
"content": "[PAD]",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
}
|
38 |
+
},
|
39 |
+
"bos_token": "<s>",
|
40 |
+
"clean_up_tokenization_spaces": false,
|
41 |
+
"eos_token": "</s>",
|
42 |
+
"legacy": true,
|
43 |
+
"model_max_length": 2048,
|
44 |
+
"pad_token": "[PAD]",
|
45 |
+
"padding_side": "left",
|
46 |
+
"sp_model_kwargs": {},
|
47 |
+
"spaces_between_special_tokens": false,
|
48 |
+
"tokenizer_class": "LlamaTokenizer",
|
49 |
+
"unk_token": "<unk>",
|
50 |
+
"use_default_system_prompt": false,
|
51 |
+
"use_fast": true
|
52 |
+
}
|