Update README.md

README.md

@@ -13,18 +13,12 @@ here we go again. multi-step merge, various models involved at various ratios wi
 
 this thing came to me in a fever dream when I was hung over, but after slightly tweaking the recipe it turned out surprisingly decent. using with the settings included.
 
-## Quantized versions:
-- GGUF iMat: [Quant-Cartel/0x01-8x7b-iMat-GGUF](https://huggingface.co/Quant-Cartel/0x01-8x7b-iMat-GGUF)
-- exl2 rpcal: [Quant-Cartel/0x01-8x7b-exl2-rpcal](https://huggingface.co/Quant-Cartel/0x01-8x7b-exl2-rpcal)
-
 ## Update: 
 The following settings have proved to work good too:
 - Context: https://files.catbox.moe/q91rca.json
 - Instruct: https://files.catbox.moe/2w8ja2.json
 - Textgen: https://files.catbox.moe/s25rad.json
 
-
-
 ## Constituent parts
 ```yaml
 # primordial_slop_a:
@@ -48,34 +42,6 @@ The following settings have proved to work good too:
   - model: Envoid/Mixtral-Instruct-ITR-DADA-8x7B
 ```
 
-# mergekit
-
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
-
-## Merge Details
-### Merge Method
-
-This model was merged using the SLERP merge method.
-
-### Models Merged
-
-The following models were included in the merge:
-* ./primordial_slop_d
-* ./primordial_slop_c
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-models:
-  - model: ./primordial_slop_c
-  - model: ./primordial_slop_d
-merge_method: slerp
-base_model: ./primordial_slop_c
-parameters:
-  t:
-    - value: 0.33
-dtype: float16
-
-```
+## Quantized versions:
+- GGUF iMat: [Quant-Cartel/0x01-8x7b-iMat-GGUF](https://huggingface.co/Quant-Cartel/0x01-8x7b-iMat-GGUF)
+- exl2 rpcal: [Quant-Cartel/0x01-8x7b-exl2-rpcal](https://huggingface.co/Quant-Cartel/0x01-8x7b-exl2-rpcal)