metadata
language:
- en
license: llama2
tags:
- dare
- super mario merge
- pytorch
- llama
- llama-2
- merge
pipeline_tag: text-generation
inference: false
model-index:
- name: llama2-megamerge-dare-13b-v2
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: 59.39
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama2-megamerge-dare-13b-v2
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: 80.93
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama2-megamerge-dare-13b-v2
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: 55.26
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama2-megamerge-dare-13b-v2
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: 47.27
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama2-megamerge-dare-13b-v2
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: 75.53
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama2-megamerge-dare-13b-v2
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: 29.26
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=martyn/llama2-megamerge-dare-13b-v2
name: Open LLM Leaderboard
llama 13b mega merge v2
The following were merged with DARE using https://github.com/martyn/safetensors-merge-supermario
Mergelist
meta-llama/Llama-2-13b-hf
ajibawa-2023/Code-13B
ajibawa-2023/Python-Code-13B
meta-math/MetaMath-13B-V1.0
rombodawg/LosslessMegaCoder-llama2-13b-mini
NousResearch/Nous-Hermes-Llama2-13b
allenai/digital-socrates-13b
migtissera/Synthia-13B
Gryphe/MythoLogic-L2-13b
allenai/tulu-2-dpo-13b
FPHam/Free_Sydney_13b_HF
FPHam/Free_Sydney_V2_13b_HF
FPHam/Sydney_Overthinker_13b_HF
KoboldAI/LLaMA2-13B-Psyfighter2
Undi95/Unholy-v1-12L-13B
athirdpath/Eileithyia-13B
athirdpath/Orca-2-13b-Alpaca-Uncensored
Merge command
python hf_merge.py mergelist.txt 13b-merge-v2 -p 0.11 -lambda 2.1
Notes
- seems to generalize instruct styles
p
andlambda
are still a guess
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 57.94 |
AI2 Reasoning Challenge (25-Shot) | 59.39 |
HellaSwag (10-Shot) | 80.93 |
MMLU (5-Shot) | 55.26 |
TruthfulQA (0-shot) | 47.27 |
Winogrande (5-shot) | 75.53 |
GSM8k (5-shot) | 29.26 |