初始化项目，由ModelHub XC社区提供模型

Model: SanjiWatsuki/openchat-3.5-1210-starling-slerp
Source: Original Platform

README.md

@@ -0,0 +1,39 @@
+---
+license: cc-by-4.0
+language:
+- en
+tags:
+- merge
+---
+<!-- header start -->
+# Model Description
+This model uses the `Slerp` merge method from 2 models:
+1. [openchat/openchat-3.5-1210](https://huggingface.co/openchat/openchat-3.5-1210)
+2. [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha)
+
+- base model: [openchat/openchat-3.5-1210](https://huggingface.co/openchat/openchat-3.5-1210)
+
+I SLERPed these two together because they're both OpenChat-ish models. Fundamentally, OpenChat-3.5-1210 appears to be trained similarly to OpenChat-3.5 but now with [Feedback-Collection](https://huggingface.co/datasets/kaist-ai/Feedback-Collection)
+and [a de-contaminated Capybara](https://huggingface.co/datasets/LDJnr/Capybara). Starling is OpenChat-3.5 but trained with a novel training method on the Nectar set.
+
+My hope is that a SLERP between the two retains the benefits of both.
+
+The yaml config file for this model is here:
+```yaml
+slices:
+  - sources:
+      - model: openchat/openchat-3.5-1210 
+        layer_range: [0, 32] 
+      - model: berkeley-nest/Starling-LM-7B-alpha
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: openchat/openchat-3.5-1210 
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+```