metadata
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:
🧩 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
Detailed results can be found here
| 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 |