--- 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"]) ```