MarcGrumpyOlejak
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Browse files- README.md +64 -0
- VerwaltungsAnthologie_clear_7B.yaml +30 -0
- config.json +26 -0
- mergekit_config.yml +30 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.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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- hiig-piai/simba-v01c
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- DRXD1000/Phoenix
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- mistralai/Mistral-7B-v0.1
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- OpenPipe/mistral-ft-optimized-1227
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- VAGOsolutions/SauerkrautLM-7b-LaserChat
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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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# .
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.
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### Models Merged
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The following models were included in the merge:
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* [hiig-piai/simba-v01c](https://huggingface.co/hiig-piai/simba-v01c)
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* [DRXD1000/Phoenix](https://huggingface.co/DRXD1000/Phoenix)
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* [OpenPipe/mistral-ft-optimized-1227](https://huggingface.co/OpenPipe/mistral-ft-optimized-1227)
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* [VAGOsolutions/SauerkrautLM-7b-LaserChat](https://huggingface.co/VAGOsolutions/SauerkrautLM-7b-LaserChat)
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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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# works but never stops
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models:
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- model: mistralai/Mistral-7B-v0.1
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# No parameters necessary for base model
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- model: VAGOsolutions/SauerkrautLM-7b-LaserChat
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parameters:
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density: 0.53
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weight: 0.15
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- model: hiig-piai/simba-v01c
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parameters:
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density: 0.53
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weight: 0.55
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- model: DRXD1000/Phoenix
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parameters:
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density: 0.53
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weight: 0.15
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- model: OpenPipe/mistral-ft-optimized-1227
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parameters:
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density: 0.53
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weight: 0.15
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merge_method: dare_ties
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base_model: mistralai/Mistral-7B-v0.1
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parameters:
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int8_mask: true
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dtype: bfloat16
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name: VerwaltungsAnthologie_clear_7B
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```
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VerwaltungsAnthologie_clear_7B.yaml
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# works but never stops
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models:
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- model: mistralai/Mistral-7B-v0.1
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# No parameters necessary for base model
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- model: VAGOsolutions/SauerkrautLM-7b-LaserChat
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parameters:
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density: 0.53
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weight: 0.15
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- model: hiig-piai/simba-v01c
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parameters:
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density: 0.53
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weight: 0.55
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- model: DRXD1000/Phoenix
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parameters:
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density: 0.53
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weight: 0.15
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- model: OpenPipe/mistral-ft-optimized-1227
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parameters:
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density: 0.53
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weight: 0.15
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merge_method: dare_ties
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base_model: mistralai/Mistral-7B-v0.1
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parameters:
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int8_mask: true
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dtype: bfloat16
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name: VerwaltungsAnthologie_talky_7B
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# Example source: https://www.bsi.bund.de/dok/10990030
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# 1st example: Informationssicherheit ist ein wichtiges Thema für Unternehmen und Behörden. Es gibt viele Herausforderungen, wie z.B. die Komplexität der Gefährdungslage, die Ganzheitlichkeit der Sicherheitskonzepte, das Zusammenwirken der Sicherheitsmaßnahmen, die Angemessenheit der Sicherheitsmaßnahmen, die Erfüllung externer Anforderungen und die Nachhaltigkeit der Sicherheitsmaßnahmen. Der IT-Grundschutz des BSI bietet eine gute Grundlage für diese Herausforderungen. Es ermöglicht systematische Schwachstellen-Suche, Angemessenheitsprüfung und Sicherheitskonzeptentwicklung. Die Sicherheitsmaßnahmen sollten an den Geschäftsprozessen, Fachaufgaben und Organisationsstrukturen der Institution passen und allgemein anerkannten Standards genügen.
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# 2nd example: Informationssicherheit ist ein komplexes Thema, das viele Herausforderungen mit sich bringt. Es geht um die Sicherheit von Informationen und Systemen vor verschiedenen Gefahren wie Hackerangriffen, Fahrlässigkeiten oder technischen Mängeln. Informationssicherheit betrifft nicht nur IT-Systeme, sondern auch Organisationen, Personal, Räumlichkeiten, Arbeitsplätze und Abläufe. Es ist wichtig, dass alle Sicherheitsmaßnahmen zusammenarbeiten und auf die jeweilige Institution zugeschnitten sind. Die Maßnahmen sollten angemessen sein und nicht überfordern. Unternehmen und Behörden müssen auch externen Anforderungen gerecht werden, indem sie ihre Vorkehrungen an allgemein anerkannten Standards ausrichten. Informationssicherheit ist ein fortlaufender Prozess, der sich an die Veränderungen in Unternehmen und Behörden anpasst. Der IT-Grundschutz des BSI bietet eine gute Grundlage für diese Herausforderungen.
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config.json
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{
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"_name_or_path": "mistralai/Mistral-7B-v0.1",
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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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# works but never stops
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models:
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- model: mistralai/Mistral-7B-v0.1
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# No parameters necessary for base model
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- model: VAGOsolutions/SauerkrautLM-7b-LaserChat
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parameters:
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density: 0.53
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weight: 0.15
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- model: hiig-piai/simba-v01c
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parameters:
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density: 0.53
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weight: 0.55
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- model: DRXD1000/Phoenix
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parameters:
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density: 0.53
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weight: 0.15
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- model: OpenPipe/mistral-ft-optimized-1227
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parameters:
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density: 0.53
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weight: 0.15
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merge_method: dare_ties
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base_model: mistralai/Mistral-7B-v0.1
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parameters:
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int8_mask: true
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dtype: bfloat16
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name: VerwaltungsAnthologie_talky_7B
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# Example source: https://www.bsi.bund.de/dok/10990030
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# 1st example: Informationssicherheit ist ein wichtiges Thema für Unternehmen und Behörden. Es gibt viele Herausforderungen, wie z.B. die Komplexität der Gefährdungslage, die Ganzheitlichkeit der Sicherheitskonzepte, das Zusammenwirken der Sicherheitsmaßnahmen, die Angemessenheit der Sicherheitsmaßnahmen, die Erfüllung externer Anforderungen und die Nachhaltigkeit der Sicherheitsmaßnahmen. Der IT-Grundschutz des BSI bietet eine gute Grundlage für diese Herausforderungen. Es ermöglicht systematische Schwachstellen-Suche, Angemessenheitsprüfung und Sicherheitskonzeptentwicklung. Die Sicherheitsmaßnahmen sollten an den Geschäftsprozessen, Fachaufgaben und Organisationsstrukturen der Institution passen und allgemein anerkannten Standards genügen.
|
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+
# 2nd example: Informationssicherheit ist ein komplexes Thema, das viele Herausforderungen mit sich bringt. Es geht um die Sicherheit von Informationen und Systemen vor verschiedenen Gefahren wie Hackerangriffen, Fahrlässigkeiten oder technischen Mängeln. Informationssicherheit betrifft nicht nur IT-Systeme, sondern auch Organisationen, Personal, Räumlichkeiten, Arbeitsplätze und Abläufe. Es ist wichtig, dass alle Sicherheitsmaßnahmen zusammenarbeiten und auf die jeweilige Institution zugeschnitten sind. Die Maßnahmen sollten angemessen sein und nicht überfordern. Unternehmen und Behörden müssen auch externen Anforderungen gerecht werden, indem sie ihre Vorkehrungen an allgemein anerkannten Standards ausrichten. Informationssicherheit ist ein fortlaufender Prozess, der sich an die Veränderungen in Unternehmen und Behörden anpasst. Der IT-Grundschutz des BSI bietet eine gute Grundlage für diese Herausforderungen.
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model-00001-of-00003.safetensors
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model.safetensors.index.json
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special_tokens_map.json
ADDED
@@ -0,0 +1,23 @@
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+
{
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2 |
+
"bos_token": {
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3 |
+
"content": "<s>",
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4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"unk_token": {
|
17 |
+
"content": "<unk>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
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+
}
|
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+
}
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tokenizer.json
ADDED
The diff for this file is too large to render.
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tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
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tokenizer_config.json
ADDED
@@ -0,0 +1,42 @@
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+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
+
"legacy": true,
|
35 |
+
"model_max_length": 1000000000000000019884624838656,
|
36 |
+
"pad_token": null,
|
37 |
+
"sp_model_kwargs": {},
|
38 |
+
"spaces_between_special_tokens": false,
|
39 |
+
"tokenizer_class": "LlamaTokenizer",
|
40 |
+
"unk_token": "<unk>",
|
41 |
+
"use_default_system_prompt": false
|
42 |
+
}
|