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--- |
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language: |
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- en |
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- de |
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library_name: transformers |
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pipeline_tag: text-generation |
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license: apache-2.0 |
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tags: |
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- merge |
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- mergekit |
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--- |
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_Hermes + Leo = Hermeo_ |
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# Hermeo-7B |
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A German-English language model merged from [DPOpenHermes-7B-v2](https://huggingface.co/openaccess-ai-collective/DPOpenHermes-7B-v2) and [leo-mistral-hessianai-7b-chat](https://huggingface.co/LeoLM/leo-mistral-hessianai-7b-chat) using [mergekit](https://github.com/cg123/mergekit). |
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Both base models are fine-tuned versions of [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1). |
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### Model details |
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- **Merged from:** [leo-mistral-hessianai-7b-chat](https://huggingface.co/LeoLM/leo-mistral-hessianai-7b-chat) and [DPOpenHermes-7B-v2](https://huggingface.co/openaccess-ai-collective/DPOpenHermes-7B-v2) |
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- **Model type:** Causal decoder-only transformer language model |
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- **Languages:** English and German |
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- **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0.html) |
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### How to use |
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You can use this model directly with a pipeline for text generation. Since the generation relies on some randomness, we |
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set a seed for reproducibility: |
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```python |
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>>> from transformers import pipeline, set_seed |
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>>> generator = pipeline('text-generation', model='malteos/hermeo-7b') |
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>>> set_seed(42) |
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>>> generator("Hallo, Ich bin ein Sprachmodell,", max_length=40, num_return_sequences=1) |
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[{'generated_text': 'Hallo, Ich bin ein Sprachmodell, das dir bei der Übersetzung von Texten zwischen Deutsch und Englisch helfen kann. Wenn du mir einen Text in Deutsch'}] |
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``` |
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### Acknowledgements |
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- This model release is heavily inspired by [Weyaxi/OpenHermes-2.5-neural-chat-v3-2-Slerp](https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-2-Slerp) |
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- Thanks to the authors of the base models: [Mistral](https://mistral.ai/), [LAION](https://laion.ai/), [HessianAI](https://hessian.ai/), [Open Access AI Collective](https://huggingface.co/openaccess-ai-collective), [@teknium](https://huggingface.co/teknium), [@bjoernp](https://huggingface.co/bjoernp) |
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- The [German evaluation datasets and scripts](https://github.com/bjoernpl/lm-evaluation-harness-de/tree/mmlu_de) from [@bjoernp](https://huggingface.co/bjoernp) were used. |
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- The computing resources from [DFKI's PEGASUS cluster](https://pegasus.dfki.de/) were used for the evaluation. |
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## Evaluation |
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The evaluation methdology of the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) is followed. |
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### German benchmarks |
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| **German tasks:** | **MMLU-DE** | **Hellaswag-DE** | **ARC-DE** |**Average** | |
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|-------------------------------|-------------|---------------|--------------|--------------| |
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| **Models / Few-shots:** | _(5 shots)_ | _(10 shots)_ | _(24 shots)_ | | |
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| _7B parameters_ | | | | | |
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| llama-2-7b | 0.400 | 0.513 | 0.381 | 0.431 | |
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| leo-hessianai-7b | 0.400 | 0.609 | 0.429 | 0.479 | |
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| bloom-6b4-clp-german | 0.274 | 0.550 | 0.351 | 0.392 | |
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| mistral-7b | **0.524** | 0.588 | 0.473 | 0.528 | |
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| leo-mistral-hessianai-7b | 0.481 | 0.663 | 0.485 | 0.543 | |
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| leo-mistral-hessianai-7b-chat | 0.458 | 0.617 | 0.465 | 0.513 | |
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| DPOpenHermes-7B-v2 | 0.517 | 0.603 | 0.515 | 0.545 | |
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| hermeo-7b (this model) | 0.511 | **0.668** | **0.528** | **0.569** | |
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| _13B parameters_ | | | | | |
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| llama-2-13b | 0.469 | 0.581 | 0.468 | 0.506 | |
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| leo-hessianai-13b | **0.486** | **0.658** | **0.509** | **0.551** | |
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| _70B parameters_ | | | | | |
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| llama-2-70b | 0.597 | 0.674 | 0.561 | 0.611 | |
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| leo-hessianai-70b | **0.653** | **0.721** | **0.600** | **0.658** | |
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### English benchmarks |
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| **English tasks:** | **MMLU** | **Hellaswag** | **ARC** | **Average** | |
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|----------------------------|-------------|---------------|--------------|-------------| |
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| **Models / Few-shots:** | _(5 shots)_ | _(10 shots)_ | _(24 shots)_ | | |
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| llama-2-7b | 0.466 | 0.786 | 0.530 | 0.594 | |
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| leolm-hessianai-7b | 0.423 | 0.759 | 0.522 | 0.568 | |
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| bloom-6b4-clp-german | 0.264 | 0.525 | 0.328 | 0.372 | |
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| mistral-7b | **0.635** | **0.832** | 0.607 | **0.691** | |
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| leolm-mistral-hessianai-7b | 0.550 | 0.777 | 0.518 | 0.615 | |
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| hermeo-7b (this model) | 0.601 | 0.821 | **0.620** | 0.681 | |
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## Prompting / Prompt Template |
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Prompt dialogue template (ChatML format): |
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``` |
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""" |
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<|im_start|>system |
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{system_message}<|im_end|> |
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<|im_start|>user |
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{prompt}<|im_end|> |
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<|im_start|>assistant |
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""" |
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``` |
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The model input can contain multiple conversation turns between user and assistant, e.g. |
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``` |
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<|im_start|>user |
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{prompt 1}<|im_end|> |
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<|im_start|>assistant |
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{reply 1}<|im_end|> |
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<|im_start|>user |
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{prompt 2}<|im_end|> |
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<|im_start|>assistant |
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(...) |
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``` |
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## License |
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[Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0.html) |
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## See also |
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- AWQ quantized version: https://huggingface.co/mayflowergmbh/hermeo-7b-awq |
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