Update README.md

README.md

@@ -10,13 +10,13 @@ base_model: usermma/NEXUS-Coder-OBLITERATED
 
 # NEXUS-Coder-OBLITERATED-OBLITERATED
 
-This model was abliterated using the **`rdo`** method via
+This model was abliterated using the **`heretic`** + **`rdo`** method via
 [OBLITERATUS](https://github.com/elder-plinius/OBLITERATUS).
 
 | Detail | Value |
 |--------|-------|
-| Base model | `usermma/NEXUS-Coder-OBLITERATED` |
-| Method | `rdo` |
+| Base model | `usermma/NEXUS-Coder-Abliterated` |
+| Method | `heretic` + `rdo` |
 | Source | obliterate |
 
 ## How to Use
@@ -24,8 +24,8 @@ This model was abliterated using the **`rdo`** method via
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model = AutoModelForCausalLM.from_pretrained("NEXUS-Coder-OBLITERATED-OBLITERATED")
-tokenizer = AutoTokenizer.from_pretrained("NEXUS-Coder-OBLITERATED-OBLITERATED")
+model = AutoModelForCausalLM.from_pretrained("NEXUS-Coder-Abliterated")
+tokenizer = AutoTokenizer.from_pretrained("NEXUS-Coder-Abliterated")
 
 prompt = "Hello, how are you?"
 inputs = tokenizer(prompt, return_tensors="pt")