Update README.md

README.md

@@ -1,49 +1,51 @@
 ---
-base_model: []
 library_name: transformers
 tags:
 - mergekit
 - merge
-
+base_model:
+- bluuwhale/L3-SAO-MIX-8B-V1
+- Sao10K/L3-8B-Niitama-v1
+- Sao10K/L3-8B-Lunaris-v1
+- Sao10K/L3-8B-Tamamo-v1
+- Sao10K/L3-8B-Stheno-v3.2
 ---
-# merge2
+# L3-bluuwhale-SAO-MIX-8B-V1_fp32-merge-calc
 
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+This is a remerge of [bluuwhale's merger](https://huggingface.co/bluuwhale/L3-SAO-MIX-8B-V1) using the exact yaml config with the only difference being that merge calculations are done in fp32 instead of bfp16
 
 ## Merge Details
 ### Merge Method
 
-This model was merged using the della merge method using /kaggle/input/l3-8b-niitama-v1/transformers/hf/1 as a base.
+This model was merged using the della merge method using [Sao10K/L3-8B-Niitama-v1](https://huggingface.co/Sao10K/L3-8B-Niitama-v1) as a base.
 
 ### Models Merged
 
 The following models were included in the merge:
-* /kaggle/input/l3-8b-lunaris-v1/transformers/hf/1
-* /kaggle/input/l3-8b-stheno-v3.2/transformers/hf/2
-* /kaggle/input/l3-8b-tamamo-v1/transformers/hf/1
+* [Sao10K/L3-8B-Lunaris-v1](https://huggingface.co/Sao10K/L3-8B-Lunaris-v1)
+* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
+* [Sao10K/L3-8B-Tamamo-v1](https://huggingface.co/Sao10K/L3-8B-Tamamo-v1)
 
 ### Configuration
 
 The following YAML configuration was used to produce this model:
 
 ```yaml
-
 models:
-  - model: /kaggle/input/l3-8b-lunaris-v1/transformers/hf/1
+  - model: Sao10K/L3-8B-Lunaris-v1
     parameters:
       weight: 1.0
-  - model: /kaggle/input/l3-8b-stheno-v3.2/transformers/hf/2
+  - model: Sao10K/L3-8B-Stheno-v3.2
     parameters:
       weight: 1.0
-  - model: /kaggle/input/l3-8b-niitama-v1/transformers/hf/1
+  - model: Sao10K/L3-8B-Niitama-v1
     parameters:
       weight: 1.0
-  - model: /kaggle/input/l3-8b-tamamo-v1/transformers/hf/1
+  - model: Sao10K/L3-8B-Tamamo-v1
     parameters:
       weight: 1.0
-base_model: /kaggle/input/l3-8b-niitama-v1/transformers/hf/1
+base_model: Sao10K/L3-8B-Niitama-v1
 merge_method: della
 dtype: float32
 out_dtype: bfloat16
-
 ```