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Model: Blizado/discolm-kunoichi-7b-german-v0.1
Source: Original Platform

.gitattributes

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README.md

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+---
+base_model: []
+tags:
+- mergekit
+- merge
+- mistral
+- german
+- deutsch
+- english
+- roleplay
+- chatml
+language:
+- de
+- en
+---
+# merge
+
+This is a experimental merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [SanjiWatsuki/Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B)
+* [DiscoResearch/DiscoLM_German_7b_v1](https://huggingface.co/DiscoResearch/DiscoLM_German_7b_v1)
+
+#### Why this two models?
+
+DiscoLM German 7B is is up to this date (01/21/2024) by far the best German model and makes far fewer grammatical errors and his German generally sounds good. But it is finetuned on Mistral V0.2 or even V0.1.
+
+Kunoichi DPO v2 7B is a model that is already solid on german, but makes some more grammar errors. This model is trained especially for roleplay.
+
+The ulterior motive was now combining this two models to get a even better German model, especially for German roleplay. A short testing showed already good results.
+
+![Example 1](example.jpg)
+The last two AI responses above were 100% correct.
+![Example 2](example2.jpg)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+slices:
+  - sources:
+      - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
+        layer_range: [0, 32]
+      - model: DiscoResearch/DiscoLM_German_7b_v1
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
+parameters:
+  t:
+    - value: [0.5, 0.9]
+dtype: bfloat16
+
+
+```
+
+This settings are from the model [oshizo/japanese-e5-mistral-7b_slerp](https://huggingface.co/oshizo/japanese-e5-mistral-7b_slerp).

config.json

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+{
+  "_name_or_path": "Blizado/Blizado/discolm-kunoichi-7b-german-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

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special_tokens_map.json

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+}

tokenizer_config.json

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+{
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+  "added_tokens_decoder": {
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+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
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+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}