Update README.md

README.md

@@ -1,3 +1,45 @@
----
-license: cc-by-4.0
----
+---
+library_name: transformers
+tags:
+- llama-3
+license: cc-by-nc-4.0
+---
+
+# Badger Llama 3 Instruct 32k δ
+
+I haven't been releasing my base merges so far, but this one seems worthy.
+
+Badger is a *recursive maximally disjoint pairwise normalized fourier interpolation* of the following models:
+
+```python
+models = [
+ 'Einstein-v6.1-Llama3-8B',
+ 'L3-TheSpice-8b-v0.8.3',
+ 'dolphin-2.9-llama3-8b',
+ 'Configurable-Hermes-2-Pro-Llama-3-8B',
+ 'MAmmoTH2-8B-Plus',
+ 'Pantheon-RP-1.0-8b-Llama-3',
+ 'Tiamat-8b-1.2-Llama-3-DPO',
+ 'Buzz-8b-Large-v0.5',
+ 'Kei_Llama3_8B',
+ 'Llama-3-Lumimaid-8B-v0.1',
+ 'llama-3-cat-8b-instruct-pytorch',
+ 'Llama-3SOME-8B-v1',
+ 'Roleplay-Llama-3-8B',
+ 'Llama-3-LewdPlay-8B-evo',
+ 'opus-v1.2-llama-3-8b-instruct-run3.5-epoch2.5',
+ 'meta-llama-3-8b-instruct-hf-ortho-baukit-5fail-3000total-bf16',
+ 'Poppy_Porpoise-0.72-L3-8B',
+ 'Llama-3-8B-Instruct-norefusal',
+ 'Meta-Llama-3-8B-Instruct-DPO',
+ 'badger',
+ 'Llama-3-Refueled',
+ 'Llama-3-8B-Instruct-DPO-v0.4',
+ 'Llama-3-8B-Instruct-Gradient-1048k',
+ 'Mahou-1.0-llama3-8B',
+ 'Llama-3-SauerkrautLM-8b-Instruct',
+ 'Llama-3-Soliloquy-8B-v2'
+]
+```
+
+I have included the notebook code I used to generate the model, for any that are curious.  I have adjusted the config for rope scale 4, and 16k-32k context both seem coherent.