Update README.md

README.md

@@ -18,7 +18,7 @@ pipeline_tag: text-generation
 
 **Occiglot-7B-EU5** is a generative language model with 7B parameters supporting the top-5 EU languages (English, Spanish, French, German, and Italian) and trained by the [German Research Center for Artificial Intelligence (DFKI)](https://www.dfki.de/en/web).
 It is based on [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) and trained on 293B tokens of additional multilingual and code data with a block size of 8,192 tokens per sample.
-Note that the model is a general-purpose base model and was not instruction-fine-tuned nor optimized for chat or other applications.
+Note that the model is a general-purpose base model and was not instruction-fine-tuned nor optimized for chat or other applications. We make an instruction tuned variant available as [occiglot-7b-eu5-instruct](https://huggingface.co/occiglot/occiglot-7b-eu5-instruct)
 
 This is the first release of an ongoing open research project for multilingual language models. 
 If you want to train a model for your own language or are working on evaluations, please contact us or join our [Discord server](https://discord.gg/wUpvYs4XvM). **We are open for collaborations!**
@@ -33,7 +33,7 @@ If you want to train a model for your own language or are working on evaluations
 - **Compute resources:** [HessianAI's 42](https://hessian.ai/)
 - **Contributors:** Manuel Brack, Patrick Schramowski, Pedro Ortiz, Malte Ostendorff, Fabio Barth, Georg Rehm, Kristian Kersting
 - **Research labs:** [SAINT](https://www.dfki.de/en/web/research/research-departments/foundations-of-systems-ai) and [SLT](https://www.dfki.de/en/web/research/research-departments/speech-and-language-technology)
-- **Contact:** [Discord](https://discord.gg/wUpvYs4XvM)
+- **Contact:** [Discord](https://discord.gg/wUpvYs4XvM) [hello@occiglot.org](mailto:hello@occiglot.org)
 
 ### How to use
 
@@ -83,6 +83,9 @@ Preliminary evaluation results can be found below.
 Please note that the non-English results are based on partially machine-translated datasets and English prompts ([Belebele](https://huggingface.co/datasets/facebook/belebele) and [Okapi framework](https://github.com/nlp-uoregon/Okapi)) and thus should be interpreted with caution, e.g., biased towards English model performance.
 Currently, we are working on more suitable benchmarks for Spanish, French, German, and Italian.
 
+<details>
+<summary>Evaluation results</summary>
+  
 ### All languages
 
 | **model_name**           | **arc_challenge** | **hellaswag** | **belebele** | **mmlu** | **avg** |
@@ -131,7 +134,7 @@ Currently, we are working on more suitable benchmarks for Spanish, French, Germa
 | leo-mistral-hessianai-7b |            0.4328 |        0.5580 |       0.5967 |   0.4311 |  0.5047 |
 | Occiglot-7B-EU5 |            0.5013 |        0.7008 |       0.6522 |   0.4949 |  0.5873 |
 
-
+</details>
 
 ## Acknowledgements
 
@@ -147,5 +150,5 @@ through the project [OpenGPT-X](https://opengpt-x.de/en/) (project no. 68GX21007
 ## See also
 
 - https://huggingface.co/NikolayKozloff/occiglot-7b-eu5-GGUF
-
+- https://huggingface.co/collections/occiglot/occiglot-eu5-7b-v01-65dbed502a6348b052695e01