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Browse files- README.md +52 -0
- config.json +42 -0
- mergekit_config.yml +23 -0
- model-00001-of-00018.safetensors +3 -0
- model-00002-of-00018.safetensors +3 -0
- model-00003-of-00018.safetensors +3 -0
- model-00004-of-00018.safetensors +3 -0
- model-00005-of-00018.safetensors +3 -0
- model-00006-of-00018.safetensors +3 -0
- model-00007-of-00018.safetensors +3 -0
- model-00008-of-00018.safetensors +3 -0
- model-00009-of-00018.safetensors +3 -0
- model-00010-of-00018.safetensors +3 -0
- model-00011-of-00018.safetensors +3 -0
- model-00012-of-00018.safetensors +3 -0
- model-00013-of-00018.safetensors +3 -0
- model-00014-of-00018.safetensors +3 -0
- model-00015-of-00018.safetensors +3 -0
- model-00016-of-00018.safetensors +3 -0
- model-00017-of-00018.safetensors +3 -0
- model-00018-of-00018.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +36 -0
- tokenizer.json +0 -0
- tokenizer_config.json +135 -0
README.md
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---
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base_model:
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- ssmits/Falcon2-5.5B-Czech
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the passthrough merge method.
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### Models Merged
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The following models were included in the merge:
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* [ssmits/Falcon2-5.5B-Czech](https://huggingface.co/ssmits/Falcon2-5.5B-Czech)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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slices:
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- sources:
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- model: ssmits/Falcon2-5.5B-Czech
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layer_range: [0, 9]
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- sources:
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- model: ssmits/Falcon2-5.5B-Czech
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layer_range: [5, 14]
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- sources:
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- model: ssmits/Falcon2-5.5B-Czech
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layer_range: [10, 19]
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- sources:
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- model: ssmits/Falcon2-5.5B-Czech
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layer_range: [15, 24]
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- sources:
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- model: ssmits/Falcon2-5.5B-Czech
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layer_range: [20, 27]
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- sources:
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- model: ssmits/Falcon2-5.5B-Czech
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layer_range: [27, 27]
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merge_method: passthrough
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dtype: bfloat16
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```
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config.json
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{
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"_name_or_path": "ssmits/Falcon2-5.5B-Czech",
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"activation": "gelu",
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"alibi": false,
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"architectures": [
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"FalconForCausalLM"
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],
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"attention_dropout": 0.0,
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"auto_map": {
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"AutoConfig": "tiiuae/falcon-11B--configuration_falcon.FalconConfig",
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"AutoModel": "tiiuae/falcon-11B--modeling_falcon.FalconModel",
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"AutoModelForCausalLM": "tiiuae/falcon-11B--modeling_falcon.FalconForCausalLM",
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"AutoModelForQuestionAnswering": "tiiuae/falcon-11B--modeling_falcon.FalconForQuestionAnswering",
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"AutoModelForSequenceClassification": "tiiuae/falcon-11B--modeling_falcon.FalconForSequenceClassification",
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"AutoModelForTokenClassification": "tiiuae/falcon-11B--modeling_falcon.FalconForTokenClassification"
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},
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"bias": false,
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"bos_token_id": 11,
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"eos_token_id": 11,
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"ff_factor": 4,
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"ffn_hidden_size": 16384,
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"hidden_dropout": 0.0,
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"max_position_embeddings": 8192,
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"model_type": "falcon",
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"multi_query": true,
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"new_decoder_architecture": true,
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"num_attention_heads": 32,
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"num_hidden_layers": 43,
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"num_kv_heads": 8,
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"num_ln_in_parallel_attn": 1,
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"parallel_attn": true,
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"rope_scaling": null,
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"rope_theta": 500042.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.41.1",
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"use_cache": true,
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"vocab_size": 65024
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}
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mergekit_config.yml
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slices:
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- sources:
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- model: ssmits/Falcon2-5.5B-Czech
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layer_range: [0, 9]
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- sources:
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- model: ssmits/Falcon2-5.5B-Czech
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layer_range: [5, 14]
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- sources:
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- model: ssmits/Falcon2-5.5B-Czech
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layer_range: [10, 19]
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- sources:
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- model: ssmits/Falcon2-5.5B-Czech
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layer_range: [15, 24]
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- sources:
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- model: ssmits/Falcon2-5.5B-Czech
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layer_range: [20, 27]
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- sources:
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- model: ssmits/Falcon2-5.5B-Czech
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layer_range: [27, 27]
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merge_method: passthrough
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dtype: bfloat16
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model-00001-of-00018.safetensors
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{"metadata": {"mergekit_version": "0.0.4.2", "total_size": 16215900160}, "weight_map": {"lm_head.weight": "model-00001-of-00018.safetensors", "transformer.h.0.input_layernorm.bias": "model-00001-of-00018.safetensors", "transformer.h.0.input_layernorm.weight": "model-00001-of-00018.safetensors", "transformer.h.0.mlp.dense_4h_to_h.weight": "model-00001-of-00018.safetensors", "transformer.h.0.mlp.dense_h_to_4h.weight": "model-00001-of-00018.safetensors", "transformer.h.0.self_attention.dense.weight": "model-00001-of-00018.safetensors", "transformer.h.0.self_attention.query_key_value.weight": "model-00001-of-00018.safetensors", "transformer.h.1.input_layernorm.bias": "model-00001-of-00018.safetensors", "transformer.h.1.input_layernorm.weight": "model-00001-of-00018.safetensors", "transformer.h.1.mlp.dense_4h_to_h.weight": "model-00002-of-00018.safetensors", "transformer.h.1.mlp.dense_h_to_4h.weight": "model-00002-of-00018.safetensors", "transformer.h.1.self_attention.dense.weight": 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|
special_tokens_map.json
ADDED
@@ -0,0 +1,36 @@
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{
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+
"additional_special_tokens": [
|
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+
">>TITLE<<",
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+
">>ABSTRACT<<",
|
5 |
+
">>INTRODUCTION<<",
|
6 |
+
">>SUMMARY<<",
|
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+
">>COMMENT<<",
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+
">>ANSWER<<",
|
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+
">>QUESTION<<",
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+
">>DOMAIN<<",
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+
">>PREFIX<<",
|
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+
">>SUFFIX<<",
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+
">>MIDDLE<<"
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+
],
|
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+
"bos_token": {
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"content": ">>",
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"lstrip": false,
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"normalized": false,
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19 |
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"rstrip": false,
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20 |
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"single_word": false
|
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},
|
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"eos_token": {
|
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"content": "<|endoftext|>",
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"lstrip": false,
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25 |
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"normalized": false,
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"rstrip": false,
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"single_word": false
|
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},
|
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"pad_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
|
32 |
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"normalized": false,
|
33 |
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"rstrip": false,
|
34 |
+
"single_word": false
|
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}
|
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+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
ADDED
@@ -0,0 +1,135 @@
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|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
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"added_tokens_decoder": {
|
4 |
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"0": {
|
5 |
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"content": ">>TITLE<<",
|
6 |
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|
7 |
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"normalized": false,
|
8 |
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"rstrip": false,
|
9 |
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"single_word": false,
|
10 |
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"special": true
|
11 |
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},
|
12 |
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"1": {
|
13 |
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"content": ">>ABSTRACT<<",
|
14 |
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"lstrip": false,
|
15 |
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"normalized": false,
|
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"rstrip": false,
|
17 |
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"single_word": false,
|
18 |
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"special": true
|
19 |
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},
|
20 |
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"2": {
|
21 |
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"content": ">>INTRODUCTION<<",
|
22 |
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"lstrip": false,
|
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"normalized": false,
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"rstrip": false,
|
25 |
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"single_word": false,
|
26 |
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"special": true
|
27 |
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},
|
28 |
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"3": {
|
29 |
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"content": ">>SUMMARY<<",
|
30 |
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"lstrip": false,
|
31 |
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"normalized": false,
|
32 |
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"rstrip": false,
|
33 |
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"single_word": false,
|
34 |
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"special": true
|
35 |
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},
|
36 |
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"4": {
|
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"content": ">>COMMENT<<",
|
38 |
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"lstrip": false,
|
39 |
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"normalized": false,
|
40 |
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"rstrip": false,
|
41 |
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"single_word": false,
|
42 |
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"special": true
|
43 |
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},
|
44 |
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"5": {
|
45 |
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"content": ">>ANSWER<<",
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46 |
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"lstrip": false,
|
47 |
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"normalized": false,
|
48 |
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|
49 |
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|
50 |
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"special": true
|
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},
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"6": {
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"content": ">>QUESTION<<",
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54 |
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55 |
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56 |
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|
57 |
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|
58 |
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"special": true
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59 |
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},
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60 |
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"7": {
|
61 |
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"content": ">>DOMAIN<<",
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63 |
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|
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67 |
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},
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"8": {
|
69 |
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"content": ">>PREFIX<<",
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70 |
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"lstrip": false,
|
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"normalized": false,
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"rstrip": false,
|
73 |
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"single_word": false,
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"special": true
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75 |
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},
|
76 |
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"9": {
|
77 |
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"content": ">>SUFFIX<<",
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"lstrip": false,
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79 |
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"normalized": false,
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80 |
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"rstrip": false,
|
81 |
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"single_word": false,
|
82 |
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"special": true
|
83 |
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},
|
84 |
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"10": {
|
85 |
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"content": ">>MIDDLE<<",
|
86 |
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"lstrip": false,
|
87 |
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"normalized": false,
|
88 |
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"rstrip": false,
|
89 |
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"single_word": false,
|
90 |
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"special": true
|
91 |
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},
|
92 |
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"11": {
|
93 |
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"content": "<|endoftext|>",
|
94 |
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"lstrip": false,
|
95 |
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"normalized": false,
|
96 |
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"rstrip": false,
|
97 |
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"single_word": false,
|
98 |
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"special": true
|
99 |
+
},
|
100 |
+
"500": {
|
101 |
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"content": ">>",
|
102 |
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"lstrip": false,
|
103 |
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"normalized": false,
|
104 |
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"rstrip": false,
|
105 |
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"single_word": false,
|
106 |
+
"special": true
|
107 |
+
}
|
108 |
+
},
|
109 |
+
"additional_special_tokens": [
|
110 |
+
">>TITLE<<",
|
111 |
+
">>ABSTRACT<<",
|
112 |
+
">>INTRODUCTION<<",
|
113 |
+
">>SUMMARY<<",
|
114 |
+
">>COMMENT<<",
|
115 |
+
">>ANSWER<<",
|
116 |
+
">>QUESTION<<",
|
117 |
+
">>DOMAIN<<",
|
118 |
+
">>PREFIX<<",
|
119 |
+
">>SUFFIX<<",
|
120 |
+
">>MIDDLE<<"
|
121 |
+
],
|
122 |
+
"bos_token": ">>",
|
123 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ 'User: \n' + message['content'] }}\n{% elif message['role'] == 'system' %}\n{{ 'System: ' + message['content'] }}\n{% elif message['role'] == 'assistant' %}\n{{ 'Falcon:\n' + message['content']}}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ 'Falcon:' }}\n{% endif %}\n{% endfor %}",
|
124 |
+
"clean_up_tokenization_spaces": true,
|
125 |
+
"device_map": "cuda:2",
|
126 |
+
"eos_token": "<|endoftext|>",
|
127 |
+
"model_input_names": [
|
128 |
+
"input_ids",
|
129 |
+
"attention_mask"
|
130 |
+
],
|
131 |
+
"model_max_length": 1000000000000000019884624838656,
|
132 |
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"pad_token": "<|endoftext|>",
|
133 |
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"padding_side": "left",
|
134 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
135 |
+
}
|