Create README.md

README.md

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+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- abideen/AlphaMonarch-dora
+base_model:
+- abideen/AlphaMonarch-dora
+license: cc-by-nc-4.0
+---
+
+# Spaetzle-v69-7b
+This is a progressive (mostly dare-ties, but also slerp) merge with the intention of a suitable compromise for English and German local tasks.
+
+There is also an [unquantized](https://huggingface.co/cstr/Spaetzle-v69-7b) version.
+
+It achieves (running quantized) in 
+- German EQ Bench: Score (v2_de): 62.59 (Parseable: 171.0).
+- English EQ Bench: Score (v2): 76.43 (Parseable: 171.0).
+
+It should work sufficiently well with ChatML prompt template (for all merged models should have seen ChatML prompts at least in DPO stage).
+
+Spaetzle-v69-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [abideen/AlphaMonarch-dora](https://huggingface.co/abideen/AlphaMonarch-dora)
+* [cstr/Spaetzle-v68-7b](https://huggingface.co/cstr/Spaetzle-v68-7b)
+
+The merge tree in total involves to following original models:
+  - [abideen/AlphaMonarch-dora](https://huggingface.co/abideen/AlphaMonarch-dora)
+  - [mayflowergmbh/Wiedervereinigung-7b-dpo](https://huggingface.co/mayflowergmbh/Wiedervereinigung-7b-dpo)
+  - [flemmingmiguel/NeuDist-Ro-7B](https://huggingface.co/flemmingmiguel/NeuDist-Ro-7B)
+  - [ResplendentAI/Flora_DPO_7B](https://huggingface.co/ResplendentAI/Flora_DPO_7B)
+  - [yleo/EmertonMonarch-7B](https://huggingface.co/yleo/EmertonMonarch-7B)
+  - [occiglot/occiglot-7b-de-en-instruct](https://huggingface.co/occiglot/occiglot-7b-de-en-instruct)     
+  - [OpenPipe/mistral-ft-optimized-1227](https://huggingface.co/OpenPipe/mistral-ft-optimized-1227)
+  - [yleo/EmertonMonarch-7B](https://huggingface.co/yleo/EmertonMonarch-7B)
+  - [DiscoResearch/DiscoLM_German_7b_v1](https://huggingface.co/DiscoResearch/DiscoLM_German_7b_v1)
+  - [LeoLM/leo-mistral-hessianai-7b](https://huggingface.co/LeoLM/leo-mistral-hessianai-7b)
+  - [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)
+  - [FelixChao/WestSeverus-7B-DPO-v2](https://huggingface.co/FelixChao/WestSeverus-7B-DPO-v2)
+  - [cognitivecomputations/openchat-3.5-0106-laser](https://huggingface.co/cognitivecomputations/openchat-3.5-0106-laser)
+
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: cstr/Spaetzle-v68-7b
+    # no parameters necessary for base model
+  - model: abideen/AlphaMonarch-dora
+    parameters:
+      density: 0.60
+      weight: 0.30
+merge_method: dare_ties
+base_model: cstr/Spaetzle-v68-7b
+parameters:
+  int8_mask: true
+dtype: bfloat16
+random_seed: 0
+tokenizer_source: base
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "cstr/Spaetzle-v69-7b"
+messages = [{"role": "user", "content": "What is a 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"])
+```