Update README.md

README.md

@@ -5,43 +5,102 @@ library_name: transformers
 tags:
 - mergekit
 - merge
-
+- llama
+- conversational
+license: llama3
 ---
-# gCHdqlR
+# L3-Hecate-8B-v1.2
+
+![Hecate](https://huggingface.co/Azazelle/L3-Hecate-8B-v1.2/resolve/main/img-lk8aRDQYDBJf0C02UowUk.jpeg)
+
+## About:
 
 This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
 
-## Merge Details
-### Merge Method
+**Recommended Samplers:**
 
-This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) as a base.
+```
+Temperature - 1.0
+TFS - 0.7
+Smoothing Factor - 0.3
+Smoothing Curve - 1.1
+Repetition Penalty - 1.08
+```
 
-### Models Merged
+### Merge Method
 
-The following models were included in the merge:
-* output/hq_rp
+This model was merged a series of model stock, followed by ExPO. It uses a mix of roleplay models to improve performance.
 
 ### Configuration
 
 The following YAML configuration was used to produce this model:
 
 ```yaml
-base_model: NousResearch/Meta-Llama-3-8B-Instruct
-dtype: float32
+---
+# Concise-Mopey
+models:
+  - model: Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-Concise-R
+    parameters:
+      weight: 1.0
+  - model: failspy/Llama-3-8B-Instruct-MopeyMule
+    parameters:
+      weight: 1.0
 merge_method: task_arithmetic
+base_model: NousResearch/Meta-Llama-3-8B-Instruct
 parameters:
-  normalize: 0.0
-slices:
-- sources:
-  - layer_range: [0, 32]
-    model: output/hq_rp
+  normalize: false
+dtype: float32
+vocab_type: bpe
+name: Concise-Mopey
+
+---
+# Mopey RP Mix
+models:
+  - model: Concise-Mopey+Azazelle/Llama-3-Sunfall-8b-lora
+  - model: Concise-Mopey+Azazelle/Llama-3-8B-Abomination-LORA
+  - model: Concise-Mopey+Azazelle/llama3-8b-hikikomori-v0.4
+  - model: Concise-Mopey+Azazelle/Llama-3-Instruct-LiPPA-LoRA-8B
+  - model: Concise-Mopey+Azazelle/BlueMoon_Llama3
+  - model: Concise-Mopey+Azazelle/Llama3_RP_ORPO_LoRA
+  - model: Concise-Mopey+mpasila/Llama-3-LimaRP-Instruct-LoRA-8B
+  - model: Concise-Mopey+Azazelle/Llama-3-LongStory-LORA
+merge_method: model_stock
+base_model: failspy/Llama-3-8B-Instruct-MopeyMule
+dtype: float32
+vocab_type: bpe
+name: mopey_rp
+
+---
+models:
+  - model: Nitral-AI/Hathor_Tahsin-L3-8B-v0.85
+  - model: Sao10K/L3-8B-Tamamo-v1
+  - model: Sao10K/L3-8B-Niitama-v1
+  - model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
+  - model: nothingiisreal/L3-8B-Celeste-v1
+  - model: Jellywibble/lora_120k_pref_data_ep2
+  - model: Nitral-AI/Hathor_Stable-v0.2-L3-8B
+  - model: mopey_rp
+merge_method: model_stock
+base_model: NousResearch/Meta-Llama-3-8B-Instruct
+dtype: float32
+vocab_type: bpe
+name: hq_rp
+
+---
+# ExPO
+models:
+  - model: hq_rp
     parameters:
       weight:
-      - filter: mlp
-        value: 1.15
-      - filter: self_attn
-        value: 1.025
-      - value: 1.0
-  - layer_range: [0, 32]
-    model: NousResearch/Meta-Llama-3-8B-Instruct
-```
+        - filter: mlp
+          value: 1.15
+        - filter: self_attn
+          value: 1.025
+        - value: 1.0
+merge_method: task_arithmetic
+base_model: NousResearch/Meta-Llama-3-8B-Instruct
+parameters:
+  normalize: false
+dtype: float32
+vocab_type: bpe
+```