metadata
license: apache-2.0
tags:
- merge
- mergekit
model-index:
- name: DesivoMerge0.1
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: 65.87
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cris177/DesivoMerge0.1
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: 85.39
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cris177/DesivoMerge0.1
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: 64.35
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cris177/DesivoMerge0.1
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: 55.36
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cris177/DesivoMerge0.1
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: 78.53
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cris177/DesivoMerge0.1
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: 58.53
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cris177/DesivoMerge0.1
name: Open LLM Leaderboard
DesivoMerge0.1
DesivoMerge0.1 is a merge of a bunch of models using mergekit
The idea is to continuously merge models into a main model. The first merge is between open-orca-mistral-7B and open-hermes-7B, then I merged the resulting merge with the best performing 7B model on the open-llm leaderboard (TurdusBeagle-7B).
I will keep adding models to the merge until the average score of the models in the merge is lower than the score of the previous merge, in which case I will backtrack and find another model to merge.
I will try to avoid contaminated models by looking into each of the candidates before merging them.
🧩 Configuration
slices:
- sources:
- model: ./merge
layer_range: [0, 32]
- model: Azazelle/Argetsu
layer_range: [0, 32]
merge_method: slerp
base_model: ./merge
tokenizer_source: base
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 68.01 |
| AI2 Reasoning Challenge (25-Shot) | 65.87 |
| HellaSwag (10-Shot) | 85.39 |
| MMLU (5-Shot) | 64.35 |
| TruthfulQA (0-shot) | 55.36 |
| Winogrande (5-shot) | 78.53 |
| GSM8k (5-shot) | 58.53 |