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Model: mlabonne/NeuralPipe-7B-ties
Source: Original Platform

README.md

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+---
+license: apache-2.0
+base_model:
+- OpenPipe/mistral-ft-optimized-1218
+- mlabonne/NeuralHermes-2.5-Mistral-7B
+tags:
+- merge
+model-index:
+- name: NeuralPipe-7B-ties
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 67.92
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/NeuralPipe-7B-ties
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 86.04
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/NeuralPipe-7B-ties
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 64.24
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/NeuralPipe-7B-ties
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 61.37
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/NeuralPipe-7B-ties
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 80.19
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/NeuralPipe-7B-ties
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 69.52
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=mlabonne/NeuralPipe-7B-ties
+      name: Open LLM Leaderboard
+---
+
+# NeuralPipe-7B-ties
+
+This model is a merge of the following models made with [mergekit](https://github.com/cg123/mergekit):
+ * [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
+ * [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)
+
+## ⚡ Quantized models
+
+Thanks to TheBloke for the quantized models:
+
+* **GGUF**: https://huggingface.co/TheBloke/NeuralPipe-7B-ties-GGUF
+* **AWQ**: https://huggingface.co/TheBloke/NeuralPipe-7B-ties-AWQ
+* **GPTQ**: https://huggingface.co/TheBloke/NeuralPipe-7B-ties-GPTQ
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: mistralai/Mistral-7B-v0.1
+    # no parameters necessary for base model
+  - model: OpenPipe/mistral-ft-optimized-1218
+    parameters:
+      density: 0.5
+      weight: 0.5
+  - model: mlabonne/NeuralHermes-2.5-Mistral-7B
+    parameters:
+      density: 0.5
+      weight: 0.3
+merge_method: ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  normalize: true
+  int8_mask: true
+dtype: float16
+```
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_mlabonne__NeuralPipe-7B-ties)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |71.55|
+|AI2 Reasoning Challenge (25-Shot)|67.92|
+|HellaSwag (10-Shot)              |86.04|
+|MMLU (5-Shot)                    |64.24|
+|TruthfulQA (0-shot)              |61.37|
+|Winogrande (5-shot)              |80.19|
+|GSM8k (5-shot)                   |69.52|
+