Update README.md

README.md

@@ -4,40 +4,103 @@ library_name: transformers
 tags:
 - mergekit
 - merge
-
+- llama
+- conversational
+license: llama3
 ---
-# FuYRtqI
+# L3-Tyche-8B-v1.0
+
+![Tyche](https://huggingface.co/Azazelle/L3-Tyche-8B-v1.0/resolve/main/TPr9FmCtT0OxPuz2MXxjgw.webp)
+
+## 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 SLERP merge method.
+```
+Temperature - 1.3
+TFS - 0.96
+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/pre
-* output/donor
+This model was merged a series of model stock and lora merges, followed by ExPO and an attention swap. It uses a mix of smart and roleplay centered models to improve performance.
 
 ### Configuration
 
 The following YAML configuration was used to produce this model:
 
 ```yaml
-base_model: output/donor
+---
+models:
+  - model: Nitral-AI/Hathor_Tahsin-L3-8B-v0.85
+  - model: Nitral-AI/Hathor_Respawn-L3-8B-v0.8
+  - model: ChaoticNeutrals/Hathor_RP-v.01-L3-8B
+  - model: Sao10K/L3-8B-Stheno-v3.2
+  - model: yodayo-ai/nephra_v1.0
+  - model: HiroseKoichi/L3-8B-Lunar-Stheno
+  - model: Jellywibble/lora_120k_pref_data_ep2
+  - model: Jellywibble/qlora_120k_pref_data_ep1
+  - model: Jellywibble/meseca-20062024-c1
+  - model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
+  - model: Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B
+  - model: ResplendentAI/Nymph_8B+Azazelle/RP_Format_QuoteAsterisk_Llama3
+  - model: R136a1/Bungo-L3-8B
+  - model: maldv/badger-mu-llama-3-8b
+  - model: TheDrummer/Llama-3SOME-8B-v2
+  - model: Magpie-Align/Llama-3-8B-Magpie-Align-v0.1+Azazelle/Llama3_RP_ORPO_LoRA
+  - model: grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge+Azazelle/Llama-3-8B-Abomination-LORA
+  - model: NousResearch/Hermes-2-Pro-Llama-3-8B+mpasila/Llama-3-Instruct-LiPPA-LoRA-8B
+  - model: MaziyarPanahi/Llama-3-8B-Instruct-v0.8+Azazelle/Llama-3-Sunfall-8b-lora
+  - model: openchat/openchat-3.6-8b-20240522+Azazelle/BlueMoon_Llama3
+  - model: collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v2+Azazelle/llama3-8b-hikikomori-v0.4
+  - model: grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
+merge_method: model_stock
+base_model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
+dtype: float32
+vocab_type: bpe
+name: hq_rp
+
+---
+# ExPO
+models:
+  - model: hq_rp
+    parameters:
+      weight: 1.3
+merge_method: task_arithmetic
+base_model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
+parameters:
+  normalize: false
 dtype: float32
+vocab_type: bpe
+name: pre
+
+---
+# Attention Donor
+models:
+  - model: Nitral-AI/Hathor_Tahsin-L3-8B-v0.85
+  - model: Sao10K/L3-8B-Stheno-v3.2
+merge_method: model_stock
+base_model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
+dtype: float32
+vocab_type: bpe
+name: donor
+
+---
+# Attention swap?
+models:
+  - model: pre
 merge_method: slerp
+base_model: donor
 parameters:
   t:
-  - filter: mlp
-    value: 0.0
-  - value: 1.0
-slices:
-- sources:
-  - layer_range: [0, 32]
-    model: output/pre
-  - layer_range: [0, 32]
-    model: output/donor
+    - filter: mlp
+      value: 0
+    - value: 1
+dtype: float32
+vocab_type: bpe
 ```