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Model: AbacusResearch/haLLawa4-7b
Source: Original Platform

README.md

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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- lazymergekit
+- mlabonne/Monarch-7B
+- paulml/OGNO-7B
+- AbacusResearch/haLLAwa3
+model-index:
+- name: haLLawa4-7b
+  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: 71.5
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/haLLawa4-7b
+      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: 88.36
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/haLLawa4-7b
+      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: 64.49
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/haLLawa4-7b
+      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: 74.27
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/haLLawa4-7b
+      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: 82.4
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/haLLawa4-7b
+      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: 70.51
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/haLLawa4-7b
+      name: Open LLM Leaderboard
+---
+
+# haLLawa4-7b
+
+haLLawa4-7b is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+* [mlabonne/Monarch-7B](https://huggingface.co/mlabonne/Monarch-7B)
+* [paulml/OGNO-7B](https://huggingface.co/paulml/OGNO-7B)
+* [AbacusResearch/haLLAwa3](https://huggingface.co/AbacusResearch/haLLAwa3)
+
+## 🧩 Configuration
+
+\```yaml
+models:
+  - model: eren23/ogno-monarch-jaskier-merge-7b
+    # No parameters necessary for base model
+  - model: mlabonne/Monarch-7B
+    #Emphasize the beginning of Vicuna format models
+    parameters:
+      weight: 0.5
+      density: 0.59
+  - model: paulml/OGNO-7B
+    parameters:
+      weight: 0.2
+      density: 0.55
+  # Vicuna format
+  - model: AbacusResearch/haLLAwa3
+    parameters:
+      weight: 0.3
+      density: 0.55
+
+merge_method: dare_ties
+base_model: eren23/ogno-monarch-jaskier-merge-7b
+parameters:
+  int8_mask: true
+dtype: bfloat16
+random_seed: 0
+\```
+# [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_AbacusResearch__haLLawa4-7b)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |75.25|
+|AI2 Reasoning Challenge (25-Shot)|71.50|
+|HellaSwag (10-Shot)              |88.36|
+|MMLU (5-Shot)                    |64.49|
+|TruthfulQA (0-shot)              |74.27|
+|Winogrande (5-shot)              |82.40|
+|GSM8k (5-shot)                   |70.51|
+