Update README.md

README.md

@@ -16,7 +16,6 @@ Note: **At least Huggingface Transformers [4.31.0](https://pypi.org/project/tran
 - checkpoint: 3319 steps
 - datatpye: fp16
 
-
 ## Long context (RoPE Scaling)
 
 This model was fine-tuned with a context size of 8192 tokens using linear scaling of RoPE embeddings. This feature was recently
@@ -123,9 +122,18 @@ llama2_13b_orca_8k:
   peft_model: false
 ```
 
+# Developers
+
+- [shahules786](https://github.com/shahules786)
+- [jordicli](https://github.com/jordiclive)
+- [andreaskoepf](https://github.com/andreaskoepf/)
+
 # Special Thanks
 
-We want to especially thank Eric Hardford for replicating ORCA and making it publicly available at [ehartford/dolphin](https://huggingface.co/datasets/ehartford/dolphin)!
+We want to especially thank Eric Hardford who spared no expense in replicating ORCA and making it available at [ehartford/dolphin](https://huggingface.co/datasets/ehartford/dolphin)!
+Also shoutout to the whole team working on [LLongMA-2-13b](https://huggingface.co/conceptofmind/LLongMA-2-13b) & the [scaled-rope](https://github.com/jquesnelle/scaled-rope) repository for their awesome work: bloc97, jquesnelle & conceptofmind!
+
+The whole Open-Assistant team is very grateful for the continued support of [Redmond AI](https://redmond.ai/) who sponsored the training compute for this model.
 
 # License