---
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|