license: apache-2.0
datasets:
- LeoLM/OpenSchnabeltier
language:
- de
pipeline_tag: conversational
tags:
- hermeo
- laser
(Evaluation WIP)
Hermes + Leo + German Laser = Germeo
Germeo-7B-Laser
A German-English understanding, but German-only speaking model merged from Hermeo-7B.
Model details
Merged from: leo-mistral-hessianai-7b-chat and DPOpenHermes-7B-v2
Model type: Causal decoder-only transformer language model
Languages: German replies with English Understanding Capabilities
Laser-Data: LeoLM/OpenSchnabeltier
This is an early experiment on laser and its influence on language understanding. It generally improves the language understanding capabilities. The hypothesis is that it degrades the probability of English replies and increasing those of German replies. The models internal German capabilities are boosted.
Will keep you updated..
Acknowledgements:
I would like to thank everyone that participated in making this model and its training possible: To @malteos for hermeo To @cognitivecomputations and Fernando Fernandes Neto for their implementation of LASER To @LeoLM and Björn for the OpenSchnabeltier dataset.
Prompt format:
streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
# Convert prompt to tokens
prompt_template = """<|im_start|>system
Du bist ein hilfreicher Assistent.<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant"""
prompt = "Schreibe eine Stellenanzeige für Data Scientist bei AXA!"
final_prompt = prompt_template.format(prompt=prompt)
German benchmarks
German tasks: | MMLU-DE | Hellaswag-DE | ARC-DE | Average |
---|---|---|---|---|
Models / Few-shots: | (5 shots) | (10 shots) | (24 shots) | |
7B parameters | ||||
llama-2-7b | 0.400 | 0.513 | 0.381 | 0.431 |
leo-hessianai-7b | 0.400 | 0.609 | 0.429 | 0.479 |
bloom-6b4-clp-german | 0.274 | 0.550 | 0.351 | 0.392 |
mistral-7b | 0.524 | 0.588 | 0.473 | 0.528 |
leo-mistral-hessianai-7b | 0.481 | 0.663 | 0.485 | 0.543 |
leo-mistral-hessianai-7b-chat | 0.458 | 0.617 | 0.465 | 0.513 |
DPOpenHermes-7B-v2 | 0.517 | 0.603 | 0.515 | 0.545 |
hermeo-7b | 0.511 | 0.668 | 0.528 | 0.569 |
germeo-7b-laser (this model) | ? | ? | ? | ? |
13B parameters | ||||
llama-2-13b | 0.469 | 0.581 | 0.468 | 0.506 |
leo-hessianai-13b | 0.486 | 0.658 | 0.509 | 0.551 |
70B parameters | ||||
llama-2-70b | 0.597 | 0.674 | 0.561 | 0.611 |
leo-hessianai-70b | 0.653 | 0.721 | 0.600 | 0.658 |
Even though the model does not generate English text without being explicitly asked, performance on English Benchmarks is still up:
English benchmarks
English tasks: | MMLU | Hellaswag | ARC | Average |
---|---|---|---|---|
Models / Few-shots: | (5 shots) | (10 shots) | (24 shots) | |
llama-2-7b | 0.466 | 0.786 | 0.530 | 0.594 |
leolm-hessianai-7b | 0.423 | 0.759 | 0.522 | 0.568 |
bloom-6b4-clp-german | 0.264 | 0.525 | 0.328 | 0.372 |
mistral-7b | 0.635 | 0.832 | 0.607 | 0.691 |
leolm-mistral-hessianai-7b | 0.550 | 0.777 | 0.518 | 0.615 |
hermeo-7b | 0.601 | 0.821 | 0.620 | 0.681 |
germeo-7b-laser (this model) | 0.601 | 0.828 | 0.608 | 0.679 |