Update README.md

README.md

@@ -103,10 +103,10 @@ Yes, this is just ChatML mixed with Vicuna, but without the im_start tokens, and
 
 The following models were included in the merge:
 
-https://huggingface.co/migtissera/Tess-34B-v1.5b
-
 https://huggingface.co/NousResearch/Nous-Capybara-34B
 
+https://huggingface.co/migtissera/Tess-34B-v1.5b
+
 https://huggingface.co/jondurbin/nontoxic-bagel-34b-v0.2
 
 https://huggingface.co/maywell/PiVoT-SUS-RP
@@ -123,24 +123,24 @@ The following YAML configuration was used to produce this model:
 
 ```yaml
 models:
-  - model: /home/oem/Desktop/merge/Nyakura-CausalLM-RP-34B
+  - model: Nyakura-CausalLM-RP-34B
     parameters:
       weight: 0.16
       density: 0.42
-  - model: /home/oem/Desktop/merge/Nontoxic-PiVoT-Bagel-RP-34b
+  - model: Nontoxic-PiVoT-Bagel-RP-34b
     parameters:
       weight: 0.22
       density: 0.54
-  - model: /home/oem/Desktop/merge/Tess-34B-v1.5b
+  - model: Tess-34B-v1.5b
     parameters:
       weight: 0.28
       density: 0.66
-  - model: /home/oem/Desktop/merge/Nous-Capybara-34B-V1.9
+  - model: Nous-Capybara-34B-V1.9
     parameters:
       weight: 0.34
       density: 0.78
 merge_method: dare_ties
-base_model: /home/oem/Desktop/merge/Yi-34B-200K-Llama
+base_model: Yi-34B-200K-Llama
 parameters:
   int8_mask: true
 dtype: bfloat16