Update README.md

README.md

@@ -26,7 +26,25 @@ base_model: google/gemma-7b
 - **Finetuned from model:** [google/gemma-7b](https://huggingface.co/google/gemma-7b)
 - **Contact**: For questions and comments about the model, please email `karakuri-rd@karakuri.ai`
 
-## Use in 🤗 Transformers
+## Usage
+
+KARAKURI LM 7B APM v0.1 is a attribute prediction model that rates model responses on various aspects that makes a response desirable.
+
+Given a conversation with multiple turns between user and assistant, the model rates the following attributes (between 0 and 4) for every assistant turn.
+
+- helpfulness: Overall helpfulness of the response to the prompt.
+- correctness: Inclusion of all pertinent facts without errors.
+- coherence: Consistency and clarity of expression.
+- complexity: Intellectual depth required to write response (i.e. whether the response can be written by anyone with basic language competency or requires deep domain expertise).
+- verbosity: Amount of detail included in the response, relative to what is asked for in the prompt.
+- quality: Perceived goodness of response
+- toxicity: Undesirable elements such as vulgar, harmful or potentially biased response
+- humor: Sense of humor within response
+- creativity: Willingness to generate non-conventional response
+
+The first five are derived from HelpSteer, while the remaining four are derived from OASST2.
+
+You can run the model using the 🤗 Transformers:
 
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer