Update README.md

README.md

@@ -18,14 +18,12 @@ BLING models are fine-tuned with distilled high-quality custom instruct datasets
 
 <!-- Provide a longer summary of what this model is. -->
 
-
-
-- **Developed by:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Developed by:** llmware
+- **Shared by [optional]:** Darren Oberst
+- **Model type:** GPTNeoX instruct-trained decoder
+- **Language(s) (NLP):** English
+- **License:** Apache 2.0
+- **Finetuned from model [optional]:** EleutherAI/Pythia-1b-deduped
 
 ### Model Sources [optional]
 
@@ -39,10 +37,26 @@ BLING models are fine-tuned with distilled high-quality custom instruct datasets
 
 <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
 
+The intended use of BLING models is two-fold:
+
+1.  Provide a high-quality Instruct models that can run on a laptop for local testing.  We have found it extremely useful when building a
+   proof-of-concept, or working with sensitive enterprise data that must be closely guarded, especially in RAG use cases.
+
+2.  Push the state of the art for smaller Instruct-following models in the 1B - 7B range.
+
 ### Direct Use
 
 <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
+BLING is designed for enterprise automation use cases, especially in knowledge-intensive industries, such as financial services,
+legal and regulatory industries.   BLING is intended to be an experimental series of little instruct models targeted as specific
+RAG automation tasks with complex information sources.   Rather than try to be "all things to all people," BLING models try to focus
+on a narrower set of Instructions more suitable to a ~1B parameter GPT model.
+
+BLING is ideal for rapid prototyping, testing, and the ability to perform an end-to-end workflow locally on a laptop without
+having to send sensitive information over an Internet-based API.
+
+
 [More Information Needed]
 
 ### Downstream Use [optional]
@@ -55,12 +69,20 @@ BLING models are fine-tuned with distilled high-quality custom instruct datasets
 
 <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
 
+1.  BLING is not designed for 'chat-bot' or 'consumer-oriented' applications.  
+
+2.  BLING is not optimal for most production applications, other than simple and highly specific use cases.
+
+
 [More Information Needed]
 
 ## Bias, Risks, and Limitations
 
 <!-- This section is meant to convey both technical and sociotechnical limitations. -->
 
+BLING has not been designed for end consumer-oriented applications, and there has been any focus in training on important safeguards to
+mitigate potential bias and safety.    We would strongly discourage any use of BLING for any 'chatbot' use case.
+
 [More Information Needed]
 
 ### Recommendations