hermeo-7b

Hermes + Leo = Hermeo

Hermeo-7B

A German-English language model merged from DPOpenHermes-7B-v2 and leo-mistral-hessianai-7b-chat using mergekit. Both base models are fine-tuned versions of Mistral-7B-v0.1.

Model details

• Merged from: leo-mistral-hessianai-7b-chat and DPOpenHermes-7B-v2
• Model type: Causal decoder-only transformer language model
• Languages: English and German
• License: Apache 2.0

How to use

You can use this model directly with a pipeline for text generation. Since the generation relies on some randomness, we set a seed for reproducibility:

>>> from transformers import pipeline, set_seed
>>> generator = pipeline('text-generation', model='malteos/hermeo-7b')
>>> set_seed(42)
>>> generator("Hallo, Ich bin ein Sprachmodell,", max_length=40, num_return_sequences=1)
[{'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'}]

Acknowledgements

• This model release is heavily inspired by Weyaxi/OpenHermes-2.5-neural-chat-v3-2-Slerp
• Thanks to the authors of the base models: Mistral, LAION, HessianAI, Open Access AI Collective, @teknium, @bjoernp
• The German evaluation datasets and scripts from @bjoernp were used.
• The computing resources from DFKI's PEGASUS cluster were used for the evaluation.

Evaluation

The evaluation methdology of the Open LLM Leaderboard is followed.

German benchmarks

English benchmarks

Prompting / Prompt Template

Prompt dialogue template (ChatML format):

"""
<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
"""

The model input can contain multiple conversation turns between user and assistant, e.g.

<|im_start|>user
{prompt 1}<|im_end|>
<|im_start|>assistant
{reply 1}<|im_end|>
<|im_start|>user
{prompt 2}<|im_end|>
<|im_start|>assistant
(...)

License

Apache 2.0

See also

• AWQ quantized version: https://huggingface.co/mayflowergmbh/hermeo-7b-awq