Update model card

README.md

@@ -1,3 +1,108 @@
 ---
-license: apache-2.0
+license: cc-by-nc-4.0
+language:
+- en
+tags:
+- merge
 ---
+
+# Model Description
+
+This is an update to [EmbeddedLLM/Mistral-7B-Merge-14-v0.2](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.2) that removes
+potentially TruthfulQA-contaminated models and non-commercially licensed models:
+1. [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha)
+2. [Q-bert/MetaMath-Cybertron-Starling](https://huggingface.co/Q-bert/MetaMath-Cybertron-Starling)
+3. [v1olet/v1olet_marcoroni-go-bruins-merge-7B](https://huggingface.co/v1olet/v1olet_marcoroni-go-bruins-merge-7B)
+
+
+This is an experiment to test merging 14 models using DARE TIES 🦙
+
+The result is a base model that performs quite well but may need some further chat fine-tuning.
+
+The 14 models are as follows:
+1. [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
+2. [ehartford/dolphin-2.2.1-mistral-7b](https://huggingface.co/ehartford/dolphin-2.2.1-mistral-7b)
+3. [SciPhi/SciPhi-Mistral-7B-32k](https://huggingface.co/SciPhi/SciPhi-Mistral-7B-32k)
+4. [ehartford/samantha-1.2-mistral-7b](https://huggingface.co/ehartford/samantha-1.2-mistral-7b)
+5. [Arc53/docsgpt-7b-mistral](https://huggingface.co/Arc53/docsgpt-7b-mistral)
+6. [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)
+7. [meta-math/MetaMath-Mistral-7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B)
+8. [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca)
+9. [openchat/openchat-3.5-1210](https://huggingface.co/openchat/openchat-3.5-1210)
+10. [beowolx/MistralHermes-CodePro-7B-v1](https://huggingface.co/beowolx/MistralHermes-CodePro-7B-v1)
+11. [TIGER-Lab/MAmmoTH-7B-Mistral](https://huggingface.co/TIGER-Lab/MAmmoTH-7B-Mistral)
+12. [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
+13. [Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp](https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp)
+14. [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)
+
+- base model: [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
+
+The yaml config file for this model is here:
+
+```yaml
+models:
+  - model: mistralai/Mistral-7B-v0.1
+    # no parameters necessary for base model
+  - model: ehartford/dolphin-2.2.1-mistral-7b
+    parameters:
+      weight: 0.08
+      density: 0.4
+  - model: SciPhi/SciPhi-Mistral-7B-32k
+    parameters:
+      weight: 0.08
+      density: 0.4
+  - model: ehartford/samantha-1.2-mistral-7b
+    parameters:
+      weight: 0.08
+      density: 0.4
+  - model: Arc53/docsgpt-7b-mistral
+    parameters:
+      weight: 0.08
+      density: 0.4
+  - model: HuggingFaceH4/zephyr-7b-beta
+    parameters:
+      weight: 0.08
+      density: 0.4
+  - model: meta-math/MetaMath-Mistral-7B
+    parameters:
+      weight: 0.08
+      density: 0.4
+  - model: Open-Orca/Mistral-7B-OpenOrca
+    parameters:
+      weight: 0.08
+      density: 0.4
+  - model: openchat/openchat-3.5-1210
+    parameters:
+      weight: 0.08
+      density: 0.4
+  - model: beowolx/MistralHermes-CodePro-7B-v1
+    parameters:
+      weight: 0.08
+      density: 0.4
+  - model: TIGER-Lab/MAmmoTH-7B-Mistral
+    parameters:
+      weight: 0.08
+      density: 0.4
+  - model: teknium/OpenHermes-2.5-Mistral-7B
+    parameters:
+      weight: 0.08
+      density: 0.4
+  - model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
+    parameters:
+      weight: 0.08
+      density: 0.4
+  - model: mlabonne/NeuralHermes-2.5-Mistral-7B
+    parameters:
+      weight: 0.08
+      density: 0.4
+  - model: mistralai/Mistral-7B-Instruct-v0.2
+    parameters:
+      weight: 0.08
+      density: 0.5
+merge_method: dare_ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  int8_mask: true
+dtype: bfloat16
+
+```