Update README.md

README.md

@@ -8,34 +8,16 @@ tags:
 - exl2
 - not-for-all-audiences
 ---
+ORIGIGNAL MODEL LINK https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B
+
+Hi, this is the rp-stew-v2 model enlarged by half, up to 90 layers. To be honest, I don't know why, but someone might need it. I'm just testing it myself, compared to the original.
+I will post the exl2 quantization of 4 bits soon.
 
 
 # Merged-Vicuna-RP-Stew-34B
 
 This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 
-Specialized exl2 versions can be found here:
-
-3.5 - https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B-exl2-3.5?not-for-all-audiences=true
-
-4.0 - https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B-exl2-4.0?not-for-all-audiences=true
-
-4.65 - https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B-exl2-4.65-fix?not-for-all-audiences=true
-
-5.0 - https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B-exl2-5.0?not-for-all-audiences=true
-
-6.0~8.0 provided by Dracones:
-
-6.0 - https://huggingface.co/Dracones/Merged-RP-Stew-V2-34B_exl2_6.0bpw?not-for-all-audiences=true
-
-7.0 - https://huggingface.co/Dracones/Merged-RP-Stew-V2-34B_exl2_7.0bpw?not-for-all-audiences=true
-
-8.0 - https://huggingface.co/Dracones/Merged-RP-Stew-V2-34B_exl2_8.0bpw?not-for-all-audiences=true
-
-Standardized GGUFs provided by MarsupialAI (Doesn't use Bluemoon-Light parquet):
-
-https://huggingface.co/MarsupialAI/Merged-RP-Stew-V2-34B_iMatrix_GGUF?not-for-all-audiences=true
-
 ## Merge Details
 
 New pot of stew with some slight seasoning added into the merging recipe. Besides being decent models, Capybara was chosen at a higher percentage for it's general aptitude plus preserving longer context length, Tess-1.5 is for better character/lore understanding, Nontoxic-Bagel SLERPed with PiVoT-SUS-RP (seperate from the main merge) is for chat/RP and storytelling diversity, while Nyakura SLERPed into CausalLM-RP is for even better chat/RP engagement. Both Nontoxic-Bagel and CausalLM-RP were used as the base of their respective SLERPs.
@@ -132,34 +114,4 @@ https://huggingface.co/Sao10K/NyakuraV2-34B-Yi-Llama
 
 https://huggingface.co/NeverSleep/CausalLM-RP-34B
 
-https://huggingface.co/chargoddard/Yi-34B-200K-Llama
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-models:
-  - model: Nyakura-CausalLM-RP-34B
-    parameters:
-      weight: 0.16
-      density: 0.42
-  - model: Nontoxic-PiVoT-Bagel-RP-34b
-    parameters:
-      weight: 0.22
-      density: 0.54
-  - model: Tess-34B-v1.5b
-    parameters:
-      weight: 0.28
-      density: 0.66
-  - model: Nous-Capybara-34B-V1.9
-    parameters:
-      weight: 0.34
-      density: 0.78
-merge_method: dare_ties
-base_model: Yi-34B-200K-Llama
-parameters:
-  int8_mask: true
-dtype: bfloat16
-
-```
+https://huggingface.co/chargoddard/Yi-34B-200K-Llama