Create README.md

README.md

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+---
+tags:
+- merge
+---
+# BoreanGale-70B
+
+A merge using a custom algorithm of:
+- [152334H/miqu-1-70b-sf](https://huggingface.co/152334H/miqu-1-70b-sf)
+- [Sao10K/WinterGoddess-1.4x-70B-L2](https://huggingface.co/Sao10K/WinterGoddess-1.4x-70B-L2)
+
+This merge retains most of the weights of Miqu, but when a weight is similar between the two, it is interpolated to the WinterGoddess value. A parameter *t* specifies the sameness threshold. When the distance between two values is below *t*, the weight from WinterGoddess is used.
+
+This version of the model uses *t* = 0.001. *t* was selected so that very few but some weights are fully switched to WinterGoddess. Model quality rapidly degrades above *t* = 0.0025:
+
+- *t* = 0.001: This model
+- *t* = 0.0025: Generates one paragraph okay, but then reverts to garbage
+- *t* = 0.005: Garbage; semi-related word lists
+- *t* = 0.01: Garbage; pseudorandom tokens output
+
+```
+    t: Union[float, np.ndarray],
+    v0: Union[np.ndarray, torch.Tensor],
+    v1: Union[np.ndarray, torch.Tensor],
+...
+    lweight = numpy.absolute(v0-v1)
+    lweight = t / lweight
+    lweight = numpy.nan_to_num(lweight, nan=1.0, posinf=1.0, neginf=1.0)
+    numpy.clip(lweight, a_min=0.0, a_max=1.0, out=lweight)
+    res = lerp(lweight,v0,v1)
+```