Update README.md

README.md

@@ -26,7 +26,7 @@ in, ended up with that and solid intruct following. Took a week and a half, but
 
 [OG Q8 GGUF](https://huggingface.co/kromeurus/L3-Horizon-Anteros-v0.1-13B-Q8-GGUF) by me.
 
-Other quants are not available, yet. 
+[GGUFs](https://huggingface.co/backyardai/L3-Horizon-Anteros-v0.1-13B-GGUF) by [BackyardAI](https://huggingface.co/backyardai)
 
 ### Details & Recommended Settings
 
@@ -45,8 +45,8 @@ Rec. Settings:
 Template: Model Default
 Temperature: 1.25
 Min P: 0.1
-Repeat Penelty: 1.05
-Repeat Penelty Tokens: 256
+Repeat Penalty: 1.05
+Repeat Penalty Tokens: 256
 ```
 
 ### Models Merged & Merge Theory
@@ -60,7 +60,30 @@ The following models were included in the merge:
 * [ArliAI/ArliAI-Llama-3-8B-Formax-v1.0](https://huggingface.co/ArliAI/ArliAI-Llama-3-8B-Formax-v1.0)
 * [nothingiisreal/L3-8B-Celeste-V1.2](https://huggingface.co/nothingiisreal/L3-8B-Celeste-V1.2)
 
-too tired rn, will update later
+It looks like a lot, I swear it's not that bad. 
+
+General idea was for a more story like RP merge so I picked models that were either for basic RP and story wriing. Originally it was going to only be six models split into two 
+groups to min max their attributes, then someone on the BackyardAI discord asked if someone could fit in Formax into an RP model and I said 'bet'. Small problem, Formax is a 
+4k context model while the rest are 8k. As excpected, some frakenmerges straight up failed to quant. But, I managed to finagle it in.
+
+The first merge (anteros.b) is the more story-writing heavy base of Anteros, also the part with majority of the *moist and spice* in it. Given that the models in it are all NSFW and one 
+trained off of r/DirtyWritingPrompts, who's suprised? Since Instruct DWP is a story writing model, the top end had to be sole RP models to balence it out as well as right at the 
+end. But, I wanted to keep that 'human' writing style so I capped the end still with Instruct DWP. What came out was a merge that rambled a ton but verbose and narritive driven.
+
+Second merge (anteros.c) is the RP forward merge with Formax at the start. Still keeping that 'human' style with by capping the end with Celeste v1.2 while stuffing the mids with Niitama 
+and Tahsin; two very competent models in their own right. Took a page out of [@matchaaaaa](https://huggingface.co/matchaaaaa)'s recent models with the splice method where
+you take a slice out of two models of the same layers then merge it. I took it a step further, splicing where there was major (4+) layer overlap, streamlining the merge overall.
+The resulting merge is consise and almost snippy, but suprisingly consise and coherent though it doesn't pick up nuance well.
+
+As for how I managed to get Formax in, I did some testing and found out that you could get away with merging roughly the first quarter of the layers without much error. 
+It's the last few layers that cause trouble; trying to put the end layers at the end of the merge will make the model unquantable. But, I don't know how much that effects the 
+overall context length for the final model, still need more testing for that. 
+
+The final merge was a DELLA merge with both anteros.b and anteros.c with multiple gradients. DELLA is a very new merge method as of this model's release, you can read more about it [here](https://arxiv.org/abs/2406.11617).
+Wanted to keep anteros.b's narritive affinity and nuance while also keeping anteros.c's coherence; so, I did a high weight of anteros.c with low density at the start then eased 
+the weight down until the end, where it went up again. Maintained an averege density around ~0.4 and epsilon around 0.05. 
+
+
 
 ### Config
 
@@ -199,7 +222,7 @@ parameters:
   int8_mask: true
 merge_method: passthrough
 dtype: bfloat16
-name: himerus.c # Himerus Basis.C, available on it's own.
+name: anteros.c # Himerus Basis.C, available on its own.
 ----
 models:
   - model: himerus.c