MarcGrumpyOlejak
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Browse files- README.md +64 -0
- VerwaltungsAnthologie_Disco_7B.yaml +21 -0
- config.json +26 -0
- mergekit_config.yml +21 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
README.md
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---
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base_model:
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- MarcGrumpyOlejak/VerwaltungsAnthologie_clear_7B
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- DiscoResearch/DiscoLM_German_7b_v1
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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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# VerwaltungsAnthologie_Disco_7B
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This is a first usable experiment of a german based text summarizer after the [talky](https://huggingface.co/MarcGrumpyOlejak/VerwaltungsAnthologie_talky_7B) and the intermediate [clear](https://huggingface.co/MarcGrumpyOlejak/VerwaltungsAnthologie_clear_7B)-versions.
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In a short direct comparison to [DiscoResearch/DiscoLM_German_7b_v1](https://huggingface.co/DiscoResearch/DiscoLM_German_7b_v1) using ROUGE1, 2 and L, VA_Disco in combination with [hiig-piai/simba-v01c](https://huggingface.co/hiig-piai/simba-v01c) is capable of writing 'better' (more fluently) summaries.
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|Model|Rouge-1 F|Rouge-2 F|Rouge-L F|
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|-|-|-|-|
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|DiscoLM|18,88|5,70|17,18|
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|VA_disco_results_#6b|23,15|8,67|21,16|
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"#6b" is the "prompt"-version to "provoke" nicer sentences.
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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 SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [MarcGrumpyOlejak/VerwaltungsAnthologie_clear_7B](https://huggingface.co/MarcGrumpyOlejak/VerwaltungsAnthologie_clear_7B)
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* [DiscoResearch/DiscoLM_German_7b_v1](https://huggingface.co/DiscoResearch/DiscoLM_German_7b_v1)
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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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#
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#
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slices:
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- sources:
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- model: DiscoResearch/DiscoLM_German_7b_v1
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layer_range: [0, 32]
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- model: MarcGrumpyOlejak/VerwaltungsAnthologie_clear_7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: MarcGrumpyOlejak/VerwaltungsAnthologie_clear_7B
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embed_slerp: true
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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name: VerwaltungsAnthologie_Disco_7B
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```
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VerwaltungsAnthologie_Disco_7B.yaml
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#
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#
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slices:
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- sources:
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- model: DiscoResearch/DiscoLM_German_7b_v1
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layer_range: [0, 32]
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- model: MarcGrumpyOlejak/VerwaltungsAnthologie_clear_7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: MarcGrumpyOlejak/VerwaltungsAnthologie_clear_7B
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embed_slerp: true
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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name: VerwaltungsAnthologie_Disco_7B
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config.json
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{
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"_name_or_path": "MarcGrumpyOlejak/VerwaltungsAnthologie_clear_7B",
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"architectures": [
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"MistralForCausalLM"
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],
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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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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.37.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_config.yml
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#
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#
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slices:
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- sources:
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- model: DiscoResearch/DiscoLM_German_7b_v1
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layer_range: [0, 32]
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- model: MarcGrumpyOlejak/VerwaltungsAnthologie_clear_7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: MarcGrumpyOlejak/VerwaltungsAnthologie_clear_7B
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embed_slerp: true
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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name: VerwaltungsAnthologie_Disco_7B
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model-00001-of-00004.safetensors
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model.safetensors.index.json
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tokenizer.json
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"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
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"content": "<unk>",
|
7 |
+
"lstrip": false,
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8 |
+
"normalized": false,
|
9 |
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|
10 |
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"single_word": false,
|
11 |
+
"special": true
|
12 |
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},
|
13 |
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"1": {
|
14 |
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"content": "<s>",
|
15 |
+
"lstrip": false,
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16 |
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"normalized": false,
|
17 |
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"rstrip": false,
|
18 |
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"single_word": false,
|
19 |
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"special": true
|
20 |
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},
|
21 |
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"2": {
|
22 |
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"content": "</s>",
|
23 |
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"lstrip": false,
|
24 |
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"normalized": false,
|
25 |
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|
26 |
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"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
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"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
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"eos_token": "</s>",
|
34 |
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"legacy": true,
|
35 |
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"model_max_length": 1000000000000000019884624838656,
|
36 |
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"pad_token": null,
|
37 |
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"sp_model_kwargs": {},
|
38 |
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"spaces_between_special_tokens": false,
|
39 |
+
"tokenizer_class": "LlamaTokenizer",
|
40 |
+
"unk_token": "<unk>",
|
41 |
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"use_default_system_prompt": false
|
42 |
+
}
|