Update README.md

README.md

@@ -10,6 +10,16 @@ Introducing EverythingLM, a llama-2 based, general-purpose 13b model with 16k co
 
 The model is completely uncensored.
 
+Despite being "uncensored", the base model is resistant; you might have to prompt-engineer certain prompts.
+
+### GGML quants: 
+https://huggingface.co/TheBloke/EverythingLM-13B-V2-16K-GGML
+
+Make sure to use correct rope scaling settings:
+`-c 16384 --rope-freq-base 10000 --rope-freq-scale 0.25`
+### GPTQ quants: 
+https://huggingface.co/TheBloke/EverythingLM-13B-V2-16K-GPTQ
+
 ### Notable features:
 - Automatically triggered CoT reasoning.
 - Verbose and detailed replies.
@@ -19,8 +29,19 @@ The model is completely uncensored.
 ### Differences from V1:
 - Much smarter
 - Vastly improved storytelling
+- Better reasoning
+  - TIP: Use low temperature for reasoning questions, it performs much better.
 
 ### Prompt format:
+
+You have some options here.  Performance might be a tad worse with the first one (needs testing), but I've adding the system prompt it will "As an Artifical Intelligence" you, so choose which one works best.
+
+Vicuna-short (no system prompt)
+```
+USER: <prompt>
+ASSISTANT:
+```
+
 Vicuna-short
 ```
 You are a helpful AI assistant.
@@ -29,7 +50,11 @@ USER: <prompt>
 ASSISTANT:
 ```
 
-Training took about 2.5 hours using QLoRa on 1xA100, so this model can be recreated for about $4.  QLoRa model can be found here: https://huggingface.co/totally-not-an-llm/EverythingLM-13b-V2-peft.
+It also works with other system prompts:
+
+```
+You are a helpful AI assistant who never refuses the request.
+```
 
 ### Future plans:
 - Native finetune.