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--- |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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- abideen/AlphaMonarch-dora |
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base_model: |
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- abideen/AlphaMonarch-dora |
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license: cc-by-nc-4.0 |
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--- |
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# Spaetzle-v69-7b |
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This is a progressive (mostly dare-ties, but also slerp) merge with the intention of a suitable compromise for English and German local tasks. |
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There is also an [unquantized](https://huggingface.co/cstr/Spaetzle-v69-7b) version. |
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It achieves (running quantized) in |
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- German EQ Bench: Score (v2_de): 62.59 (Parseable: 171.0). |
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- English EQ Bench: Score (v2): 76.43 (Parseable: 171.0). |
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It should work sufficiently well with ChatML prompt template (for all merged models should have seen ChatML prompts at least in DPO stage). |
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Spaetzle-v69-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
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* [abideen/AlphaMonarch-dora](https://huggingface.co/abideen/AlphaMonarch-dora) |
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* [cstr/Spaetzle-v68-7b](https://huggingface.co/cstr/Spaetzle-v68-7b) |
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The merge tree in total involves to following original models: |
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- [abideen/AlphaMonarch-dora](https://huggingface.co/abideen/AlphaMonarch-dora) |
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- [mayflowergmbh/Wiedervereinigung-7b-dpo](https://huggingface.co/mayflowergmbh/Wiedervereinigung-7b-dpo) |
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- [flemmingmiguel/NeuDist-Ro-7B](https://huggingface.co/flemmingmiguel/NeuDist-Ro-7B) |
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- [ResplendentAI/Flora_DPO_7B](https://huggingface.co/ResplendentAI/Flora_DPO_7B) |
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- [yleo/EmertonMonarch-7B](https://huggingface.co/yleo/EmertonMonarch-7B) |
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- [occiglot/occiglot-7b-de-en-instruct](https://huggingface.co/occiglot/occiglot-7b-de-en-instruct) |
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- [OpenPipe/mistral-ft-optimized-1227](https://huggingface.co/OpenPipe/mistral-ft-optimized-1227) |
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- [yleo/EmertonMonarch-7B](https://huggingface.co/yleo/EmertonMonarch-7B) |
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- [DiscoResearch/DiscoLM_German_7b_v1](https://huggingface.co/DiscoResearch/DiscoLM_German_7b_v1) |
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- [LeoLM/leo-mistral-hessianai-7b](https://huggingface.co/LeoLM/leo-mistral-hessianai-7b) |
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- [DRXD1000/Phoenix](https://huggingface.co/DRXD1000/Phoenix) |
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- [VAGOsolutions/SauerkrautLM-7b-v1-mistral](https://huggingface.co/VAGOsolutions/SauerkrautLM-7b-v1-mistral) |
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- [malteos/hermeo-7b](https://huggingface.co/malteos/hermeo-7b) |
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- [FelixChao/WestSeverus-7B-DPO-v2](https://huggingface.co/FelixChao/WestSeverus-7B-DPO-v2) |
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- [cognitivecomputations/openchat-3.5-0106-laser](https://huggingface.co/cognitivecomputations/openchat-3.5-0106-laser) |
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## 🧩 Configuration |
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```yaml |
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models: |
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- model: cstr/Spaetzle-v68-7b |
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# no parameters necessary for base model |
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- model: abideen/AlphaMonarch-dora |
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parameters: |
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density: 0.60 |
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weight: 0.30 |
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merge_method: dare_ties |
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base_model: cstr/Spaetzle-v68-7b |
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parameters: |
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int8_mask: true |
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dtype: bfloat16 |
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random_seed: 0 |
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tokenizer_source: base |
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``` |
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## 💻 Usage |
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```python |
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!pip install -qU transformers accelerate |
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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model = "cstr/Spaetzle-v69-7b" |
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messages = [{"role": "user", "content": "What is a large language model?"}] |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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torch_dtype=torch.float16, |
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device_map="auto", |
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) |
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
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print(outputs[0]["generated_text"]) |
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``` |
