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Model: OpenPipe/mistral-ft-optimized-1218
Source: Original Platform

README.md

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+---
+license: cc-by-nc-4.0
+language:
+- en
+---
+
+**Update 12/27/2023**: We have released an updated version of this model with similar performance and a more permissive license at https://huggingface.co/OpenPipe/mistral-ft-optimized-1227. We recommend that model over this one for most users.
+
+---
+
+This model is intended to be a strong base suitable for downstream fine-tuning on a variety of tasks. Based on our internal evaluations, we believe it's one of the strongest models for most down-stream tasks. You can read more about our development and evaluation process [here](https://openpipe.ai/blog/mistral-7b-fine-tune-optimized).
+
+---
+[Mergekit](https://github.com/cg123/mergekit) config used to create this model:
+
+```yaml
+slices:
+  - sources:
+      - model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
+        layer_range: [0, 32]
+      - model: Q-bert/MetaMath-Cybertron-Starling
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: mistralai/Mistral-7B-v0.1
+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: bfloat16
+```
+
+
+---
+*Note*: It appears that https://huggingface.co/Weyaxi/Seraph-7B was merged from the same base models using the same [mergekit](https://github.com/cg123/mergekit) defaults as this model. So major credit goes to @Weyaxi both for creating one of the base merges this model was merged from, as well as being the first one to perform this exact merge as well!