cleanup

README.md

@@ -100,4 +100,4 @@ To get a longer response, you can tell the bot to "ignore the brackets after thi
 
 When using a coding LLM, remove the personality with the stock command, or set an appropriate personality, such as a python expert.
 
-I have not extensively tested the models included in the json, add and remove models as you see fit.  They each have their strenghts and weaknesses.  I am using the default 4-bit quant versions for simplicity.
+I have not extensively tested the models included in the json, add and remove models as you see fit.  They each have their strengths and weaknesses.  I am using the default 4-bit quant versions for simplicity, but the quality will be pretty poor.  To use a different size model than default, use the full name, for example llama2:7b-chat-q8_0 instead of just llama2.

ollamarama.py

@@ -31,14 +31,16 @@ class ollamarama:
         #prompt parts
         self.prompt = ("you are ", ". speak in the first person and never break character.")
 
-        #put the models you want to use here, still testing various models
+        #open models.json
         with open("models.json", "r") as f:
             self.models = json.load(f)
+            f.close()
         
         #set model
-        self.default_model = self.models['zephyr']
+        self.default_model = self.models['mistral']
         self.model = self.default_model
 
+        #no idea if optimal, change if necessary
         self.temperature = .9
         self.top_p = .7
         self.repeat_penalty = 1.5