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Sponsored by
SocQ
philschmid / instruct-igel-001
Model's Last Updated: October 27 2023
text-generation
Introduction of instruct-igel-001
Model Details of instruct-igel-001
IGEL: Instruction-tuned German large Language Model for Text
IGEL is an LLM model family developed for German. The first version of IGEL is built on top BigScience BLOOM , adapted to German from Malte Ostendorff . IGEL is designed to provide accurate and reliable language understanding capabilities for a wide range of natural language understanding tasks, including sentiment analysis, language translation, and question answering.
You can try out the model at igel-playground .
The IGEL family currently includes
instruct-igel-001
and
chat-igel-001
(coming soon)
.
Model Description
LoRA tuned
BLOOM-CLP German (6.4B parameters)
with merged weights. The
001
was designed as a naive test to determine whether it is possible to create an german instruction-tuned model using a small, undertrained LLM and a naive translated dataset. The goal of this test was to explore the potential of the BLOOM architecture for language modeling tasks that require instruction-based responses.
To achieve this goal, we used a pre-trained LLM model with limited training, and fine-tuned it using a dataset of naive translations of instruction-based content. The dataset was created by taking instructions in English and translating them into German using an automated translation tool. While this approach may introduce errors in the translated content, we wanted to test whether the model could still learn to generate instruction-based responses in a variety of languages.
Training data
instruct-igel-001
is trained on naive translated instruction datasets, without much post-processing.
Known limitations
instruct-igel-001
also exhibits several common deficiencies of language models, including hallucination, toxicity, and stereotypes.
For example, in the following figure,
instruct-igel-001
wrongly says that the cancelor of Germany is Angela Merkel.
Training procedure
coming soon
How to use
You can test the model in this LLM playground.
coming soon
Runs of philschmid instruct-igel-001 on huggingface.co
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More Information About instruct-igel-001 huggingface.co Model
Url of instruct-igel-001
instruct-igel-001 huggingface.co Url
Provider of instruct-igel-001 huggingface.co
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Updated:December 24 2022
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