Update README.md

README.md

@@ -7,11 +7,11 @@ To accelerate discovery and guide insights, we report an open-source autoregress
 
 The model is finetuned with a corpus of over a thousand peer-reviewed articles in the field of structural biological and bio-inspired materials and can be prompted to recall information, assist with research tasks, and function as an engine for creativity. 
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/623ce1c6b66fedf374859fe7/K0GifLVENb8G0nERQAzeQ.png)
+The model is based on mistralai/Mixtral-8x7B-Instruct-v0.1. 
 
-This model is based on work reported in https://doi.org/10.1002/advs.202306724, but focused on the development of a mixture-of-experts strategy. 
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/623ce1c6b66fedf374859fe7/K0GifLVENb8G0nERQAzeQ.png)
 
-The model is a fine-tuned version of mistralai/Mixtral-8x7B-Instruct-v0.1. 
+This model is based on work reported in https://doi.org/10.1002/advs.202306724, but uses a mixture-of-experts strategy. 
 
 ```
 from llama_cpp import Llama
@@ -73,7 +73,6 @@ start_time = time.time()
 result=generate_BioMixtral(system_prompt='You respond accurately.', 
                         prompt="What is graphene? Answer with detail.",
                         max_tokens=512, temperature=0.7,  )
-
 print (result)
 deltat=time.time() - start_time
 print("--- %s seconds ---" % deltat)