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README.md

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+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- FelixChao/WestSeverus-7B-DPO-v2
+- mayflowergmbh/Wiedervereinigung-7b-dpo-laser
+- cognitivecomputations/openchat-3.5-0106-laser
+- 🥨
+- 🍻
+base_model:
+- FelixChao/WestSeverus-7B-DPO-v2
+- mayflowergmbh/Wiedervereinigung-7b-dpo-laser
+- cognitivecomputations/openchat-3.5-0106-laser
+license: apache-2.0
+language:
+- de
+---
+
+# 🥨 Brezn-7B 
+
+This is right now our best performing german speaking 7B model with an apache license, with an average of 7.49 on mt-bench-de. 
+You can test this model here: [mayflowergmbh/Brezn-7B-GGUF-Chat](https://huggingface.co/spaces/mayflowergmbh/Brezn-7B-GGUF-Chat).
+
+
+Brezn-7B is a dpo aligned merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [FelixChao/WestSeverus-7B-DPO-v2](https://huggingface.co/FelixChao/WestSeverus-7B-DPO-v2)
+* [mayflowergmbh/Wiedervereinigung-7b-dpo-laser](https://huggingface.co/mayflowergmbh/Wiedervereinigung-7b-dpo-laser)
+* [cognitivecomputations/openchat-3.5-0106-laser](https://huggingface.co/cognitivecomputations/openchat-3.5-0106-laser)
+
+![image/png](https://huggingface.co/mayflowergmbh/Brezn-7b/resolve/main/pretzel.png)
+## 💻 Usage
+
+In order to leverage instruction fine-tuning, your prompt should be surrounded by `[INST]` and `[/INST]` tokens. The very first instruction should begin with a begin of sentence id. The next instructions should not. The assistant generation will be ended by the end-of-sentence token id.
+
+E.g.
+```
+text = "<s>[INST] What is your favourite condiment? [/INST]"
+"Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!</s> "
+"[INST] Do you have mayonnaise recipes? [/INST]"
+```
+
+This format is available as a [chat template](https://huggingface.co/docs/transformers/main/chat_templating) via the `apply_chat_template()` method:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+device = "cuda" # the device to load the model onto
+
+model = AutoModelForCausalLM.from_pretrained("mayflowergmbh/Brezn-7b")
+tokenizer = AutoTokenizer.from_pretrained("mayflowergmbh/Brezn-7b")
+
+messages = [
+    {"role": "user", "content": "Was ist dein Lieblingsgewürz??"},
+    {"role": "assistant", "content": "Nun, ich mag besonders gerne einen guten Spritzer frischen Zitronensaft. Er fügt genau die richtige Menge an würzigem Geschmack hinzu, egal was ich gerade in der Küche zubereite!"},
+    {"role": "user", "content": "Hast du Mayonnaise-Rezepte?"}
+]
+
+encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")
+
+model_inputs = encodeds.to(device)
+model.to(device)
+
+generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
+decoded = tokenizer.batch_decode(generated_ids)
+print(decoded[0])
+```
+
+
+## mt-bench-de
+```yaml
+{
+    "first_turn": 7.6625,
+    "second_turn": 7.31875,
+    "categories": {
+        "writing": 8.75,
+        "roleplay": 8.5,
+        "reasoning": 6.1,
+        "math": 5.05,
+        "coding": 5.4,
+        "extraction": 7.975,
+        "stem": 9,
+        "humanities": 9.15
+    },
+    "average": 7.490625
+}
+```
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: mistralai/Mistral-7B-v0.1
+    # no parameters necessary for base model
+  - model: FelixChao/WestSeverus-7B-DPO-v2
+    parameters:
+      density: 0.60
+      weight: 0.30
+  - model: mayflowergmbh/Wiedervereinigung-7b-dpo-laser
+    parameters:
+      density: 0.65
+      weight: 0.40
+  - model: cognitivecomputations/openchat-3.5-0106-laser
+    parameters:
+      density: 0.6
+      weight: 0.3
+merge_method: dare_ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  int8_mask: true
+dtype: bfloat16
+random_seed: 0
+```
+