初始化项目，由ModelHub XC社区提供模型

Model: abacusai/Slerp-CM-mist-dpo
Source: Original Platform

README.md

@@ -0,0 +1,47 @@
+---
+license: apache-2.0
+tags:
+- merge
+---
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c14f6b02e1f8f67c73bd05/V6OaYzWhNsFGwrl1M_ZjE.png)
+
+This model is a [Slerp Merge](https://github.com/cg123/mergekit/blob/main/mergekit/merge_methods/slerp.py) of [cookinai/CatMacaroni-Slerp](https://huggingface.co/cookinai/CatMacaroni-Slerp) and [mncai/mistral-7b-dpo-v5](https://huggingface.co/mncai/mistral-7b-dpo-v5).
+
+# Evaluation Results
+
+### HuggingFace Leaderboard
+
+| Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
+| --- | --- | --- | --- | --- | --- | --- |
+| 73.1    | 69.62 | 87.09 | 64.81 | 62.82 | 81.45 | 72.78 |
+
+The model did achieve an improvement in TruthfulQA over `cookinai/CatMacaroni-Slerp` and GSM8K over `mncai/mistral-7b-dpo-v5`
+which was the goal of the merge leading to an average score that was a better than both. It is unclear why the TruthfulQA metric
+is still meaningfully lower than the base `mncai/mistral-7b-dpo-v5`.
+
+# Training Details
+
+.yaml file for mergekit
+
+```yaml
+slices:
+  - sources:
+      - model: cookinai/CatMacaroni-Slerp
+        layer_range: [0, 32]
+      - model: mncai/mistral-7b-dpo-v5
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: mncai/mistral-7b-dpo-v5
+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 # fallback for rest of tensors
+dtype: float16
+```
+# Bias, Risks, and Limitations
+
+The model has not been evaluated for safety and is only intended for research and experiments.