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README.md

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+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- DiscoResearch/DiscoLM_German_7b_v1
+- DRXD1000/Phoenix
+- VAGOsolutions/SauerkrautLM-7b-v1-mistral
+- malteos/hermeo-7b
+base_model:
+- DiscoResearch/DiscoLM_German_7b_v1
+- DRXD1000/Phoenix
+- VAGOsolutions/SauerkrautLM-7b-v1-mistral
+- malteos/hermeo-7b
+license: apache-2.0
+language:
+- de
+- en
+---
+
+# Wiedervereinigung-7b-dpo
+
+![image/png](https://huggingface.co/mayflowergmbh/Wiedervereinigung-7b/resolve/main/Wiedervereinigung-7b.png)
+
+This is a dpo aligned merge of multiple german models scoring 7.1 on the mt-bench-de average.
+It is a merge of the best german 7B models with 7b parameters as a dare_ties merge. 
+Since the original models based on mistral - three of them on the brilliant german LeoLM/leo-mistral-hessianai-7b - they are reunited in this merged model. 
+Therefore the name, no nationalist ideas involved. To improve result quality they are dpo-trained with a german translation of intel-orca-dpo 
+using our german fork of [LLaMA-Factory](https://github.com/mayflower/LLaMA-Factory-de).
+
+## mt-bench-de
+
+Is the merged model good? Well, of course. But it is even better with the help of some dpo tuning.
+
+```json
+{
+    "first_turn": 7.3,
+    "second_turn": 6.925,
+    "categories": {
+        "writing": 8.425,
+        "roleplay": 8.6,
+        "reasoning": 5.4,
+        "math": 4.35,
+        "coding": 4.3,
+        "extraction": 7.975,
+        "stem": 8.5,
+        "humanities": 9.35
+    },
+    "average": 7.1125
+}
+```
+
+
+Wiedervereinigung-7b itself is a  [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing) merge of:
+* [DiscoResearch/DiscoLM_German_7b_v1](https://huggingface.co/DiscoResearch/DiscoLM_German_7b_v1)
+* [DRXD1000/Phoenix](https://huggingface.co/DRXD1000/Phoenix)
+* [VAGOsolutions/SauerkrautLM-7b-v1-mistral](https://huggingface.co/VAGOsolutions/SauerkrautLM-7b-v1-mistral)
+* [malteos/hermeo-7b](https://huggingface.co/malteos/hermeo-7b)
+
+All the actual heavylifting has been done by the creators of these models.
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: LeoLM/leo-mistral-hessianai-7b
+    # No parameters necessary for base model
+  - model: DiscoResearch/DiscoLM_German_7b_v1
+    parameters:
+      density: 0.6
+      weight: 0.25
+  - model: DRXD1000/Phoenix
+    parameters:
+      density: 0.6
+      weight: 0.25
+  - model: VAGOsolutions/SauerkrautLM-7b-v1-mistral
+    parameters:
+      density: 0.6
+      weight: 0.25
+  - model: malteos/hermeo-7b
+    parameters:
+      density: 0.6
+      weight: 0.25
+merge_method: dare_ties
+base_model: LeoLM/leo-mistral-hessianai-7b
+parameters:
+  int8_mask: true
+dtype: bfloat16
+```
+
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "mayflowergmbh/Wiedervereinigung-7b-dpo"
+messages = [{"role": "user", "content": "Was ist ein deutsches large language model?"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```
+
+***
+
+Vanilla Quantization by [nold](https://huggingface.co/nold), Model by [mayflowergmbh](https://huggingface.co/mayflowergmbh/Wiedervereinigung-7b-dpo). Created using [llm-quantizer](https://github.com/Nold360/llm-quantizer) Pipeline - 4bc844478df79ecfd72815473b30ae09499e179d 

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