Update README.md

README.md

@@ -1,47 +1,103 @@
----
-base_model: []
-library_name: transformers
-tags:
-- mergekit
-- merge
-
----
-# merge
-
-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 breadcrumbs merge method using parts/siitamol3.1 as a base.
-
-### Models Merged
-
-The following models were included in the merge:
-* parts/formax.ext
-
-### Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-models: 
-  - model: parts/siitamol3.1
-    parameters:
-      weight: [0.5, 0.8, 0.9, 1]
-      density: 0.9
-      gamma: 0.01
-  - model: parts/formax.ext
-    parameters:
-      weight: [0.5, 0.2, 0.1, 0]
-      density: 0.9
-      gamma: 0.01
-base_model: parts/siitamol3.1
-parameters:
-  normalize: false
-  int8_mask: true
-merge_method: breadcrumbs
-dtype: float32
-out_dtype: bfloat16
-
-```
+---
+base_model:
+- ArliAI/ArliAI-Llama-3-8B-Formax-v1.0
+- Sao10K/L3.1-8B-Niitama-v1.1
+- Sao10K/L3-8B-Tamamo-v1
+- Sao10K/L3-8B-Stheno-v3.3-32K
+- Edgerunners/Lyraea-large-llama-3.1
+- gradientai/Llama-3-8B-Instruct-Gradient-1048k
+library_name: transformers
+tags:
+- mergekit
+- merge
+---
+Second (third) time's the charm. After fighting with Formax trying to increase it's max context to something that isn't 4k, spat out this merge as a result. Still maintains a 
+lot of v0.1's properties; creativity, literacy, and chattiness. Knowing everything I've learned making this, time to dive headfirst into making an L3.1 space whale. 
+
+I stg LLMs are testing me.
+
+### Quants
+
+[OG Q8 GGUF](https://huggingface.co/kromquant/L3.1-Siithamo-v0.2b-8B-Q8-GGUF) by me.
+
+### Details & Recommended Settings
+
+(Still testing; details subject to change)
+
+Outputs a lot, pretty chatty like Stheno. Pulls some chaotic creativity from Niitama but its mellowed out with Tamamo. A little cliche writing, but it's almost endearing in a way. 
+Sticks to instructs fairly well and changes to match {user}'s input in length and verbosity at times. Well balanced in all RP uses.
+
+I've tested this model to get up to 8-9k without any repitition, but idk what the true context limit of this model is yet. 
+
+Rec. Settings:
+```
+Template: L3
+Temperature: 1.4
+Min P: 0.1
+Repeat Penalty: 1.05
+Repeat Penalty Tokens: 256
+```
+
+### Models Merged & Merge Theory
+
+The following models were included in the merge:
+* [Edgerunners/Lyraea-large-llama-3.1](https://huggingface.co/Edgerunners/Lyraea-large-llama-3.1)
+* [Sao10K/L3-8B-Stheno-v3.3-32K](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.3-32K)
+* [Sao10K/L3.1-8B-Niitama-v1.1](https://huggingface.co/Sao10K/L3.1-8B-Niitama-v1.1)
+* [Sao10K/L3-8B-Tamamo-v1](https://huggingface.co/Sao10K/L3-8B-Tamamo-v1)
+* [ArliAI/ArliAI-Llama-3-8B-Formax-v1.0](https://huggingface.co/ArliAI/ArliAI-Llama-3-8B-Formax-v1.0)
+* [gradientai/Llama-3-8B-Instruct-Gradient-1048k](https://huggingface.co/gradientai/Llama-3-8B-Instruct-Gradient-1048k)
+
+Compared to v0.1, the siithamol3.1 part stayed the same. To 'increase' the context of Formax, just chopped of the ladder half and replaced it with a ~1M context model and that 
+seemed to do the trick (after doing a bunch of other shit, this was the simplest and easiest route). Then, changed from dare_linear to breadcrumbs for the final merge, gave a 
+better output without the hassle. Again, TIES anything didn't work nearly as well. 
+
+### Config
+
+```yaml
+slices:
+- sources:
+  - layer_range: [0, 16]
+    model: ArliAI/ArliAI-Llama-3-8B-Formax-v1.0
+- sources:
+  - layer_range: [16, 32]
+    model: gradientai/Llama-3-8B-Instruct-Gradient-1048k
+parameters:
+  int8_mask: true
+merge_method: passthrough
+dtype: float32
+out_dtype: bfloat16
+name: formax.ext
+---
+models:
+    - model: Sao10K/L3.1-8B-Niitama-v1.1
+    - model: Sao10K/L3-8B-Stheno-v3.3-32K
+    - model: Sao10K/L3-8B-Tamamo-v1
+base_model: Edgerunners/Lyraea-large-llama-3.1
+parameters:
+  normalize: false
+  int8_mask: true
+merge_method: model_stock
+dtype: float32
+out_dtype: bfloat16
+name: siithamol3.1
+---
+models: 
+  - model: siitamol3.1
+    parameters:
+      weight: [0.5, 0.8, 0.9, 1]
+      density: 0.9
+      gamma: 0.01
+  - model: formax.ext
+    parameters:
+      weight: [0.5, 0.2, 0.1, 0]
+      density: 0.9
+      gamma: 0.01
+base_model: siitamol3.1
+parameters:
+  normalize: false
+  int8_mask: true
+merge_method: breadcrumbs
+dtype: float32
+out_dtype: bfloat16
+```