Upload README.md with huggingface_hub

README.md

@@ -22,8 +22,8 @@ tags:
 ![halos](https://gist.github.com/assets/29318529/fe2d8391-dbd1-4b7e-9dc4-7cb97e55bc06)
 
 This repo contains the model checkpoints for:
-- model family <b>huggyllama/llama-30b</b>
-- optimized with the loss <b>CSFT</b>
+- model family <b>llama30b</b>
+- optimized with the loss <b>SFT+CSFT</b>
 - aligned using the SHP, Anthropic HH and Open Assistant datasets.
 
 To prompt Archangel models, ensure that the format is consistent with that of TuluV2.
@@ -40,10 +40,8 @@ Chocolate cake.
 ```
 Note that a beginning-of-sequence (BOS) token is automatically added by all Archangel models during tokenization and does not have to be added by you. No end-of-sequence (EOS) token is added to the prompt.
 
-
-  For models trained with our conditional SFT model, the tokenizers have additional tokens `<|good|>` and `<|bad|>` included in the embeddings. 
-  To generate with these control tokens in the context, postpend either to the prompt.
-
+For models trained with our conditional SFT model, the tokenizers have additional tokens `<|good|>` and `<|bad|>` included in the embeddings. 
+To generate with these control tokens in the context, postpend either to the prompt.
 
 Please refer to our [code repository](https://github.com/ContextualAI/HALOs) or [blog](https://contextual.ai/better-cheaper-faster-llm-alignment-with-kto/) which contains intructions for training your own HALOs and links to our model cards.