Update README.md

README.md

@@ -19,7 +19,10 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model is a fine-tuning of Mistral-7B-Instruct-v0.1.
+This FT was done with full attention (removing the 4k SWA).
+This FT was using a Position Interpolation factor of 0.5 (Linear RoPE scaling).
+Please note that the RoPE scaling factor should be determined by L'/L where L is the pre-training max context length and L' is the new max context length. In our case, we are just making experiments (and for us we would have had L'/L = 7200/8096 > 1 which did not require any PI scaling).
 
 ## Intended uses & limitations
 
@@ -27,7 +30,7 @@ More information needed
 
 ## Training and evaluation data
 
-More information needed
+Data is a 9k sample from the RedPajama datset. The context is <=7200 with a decreasing exponential distribution of scale 1500.
 
 ## Training procedure