Update README.md

README.md

@@ -17,22 +17,22 @@ language:
 
 # Model Description
 This model uses the `Slerp` merge method from 2 models:
-1. [Seraph-7B](https://huggingface.co/Weyaxi/Seraph-7B)
-2. [Marcoroni-7B-v3](https://huggingface.co/AIDC-ai-business/Marcoroni-7B-v3)
+1. [v1olet_marcoroni-go-bruins-merge-7B](https://huggingface.co/v1olet/v1olet_marcoroni-go-bruins-merge-7B)
+2. [juanako-7b-UNA](https://huggingface.co/fblgit/juanako-7b-UNA)
 
-- base model: [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
+- base model: [v1olet_marcoroni-go-bruins-merge-7B](https://huggingface.co/v1olet/v1olet_marcoroni-go-bruins-merge-7B)
 
 The yaml config file for this model is here:
 
 ```yaml
 slices:
   - sources:
-      - model: Weyaxi/Seraph-7B
+      - model: v1olet/v1olet_marcoroni-go-bruins-merge-7B
         layer_range: [0, 32]
-      - model: AIDC-ai-business/Marcoroni-7B-v3
+      - model: fblgit/juanako-7b-UNA
         layer_range: [0, 32]
 merge_method: slerp
-base_model: mistralai/Mistral-7B-v0.1
+base_model: v1olet/v1olet_marcoroni-go-bruins-merge-7B
 parameters:
   t:
     - filter: self_attn
@@ -68,4 +68,5 @@ Detailed results can be found here.
 # Acknowlegement
 - [mergekit](https://github.com/cg123/mergekit)
 - [DARE](https://github.com/yule-BUAA/MergeLM/blob/main/README.md)
+- [SLERP](https://github.com/Digitous/LLM-SLERP-Merge)
 - [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness)