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---
license:
- other
tags:
- dare ties
model-index:
- name: DARE_TIES_13B
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: 74.32
name: normalized accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=yunconglong/DARE_TIES_13B
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: 89.5
name: normalized accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=yunconglong/DARE_TIES_13B
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: 64.47
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=yunconglong/DARE_TIES_13B
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: 78.66
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=yunconglong/DARE_TIES_13B
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: 88.08
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=yunconglong/DARE_TIES_13B
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: 67.55
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=yunconglong/DARE_TIES_13B
name: Open LLM Leaderboard
---
# DARE_TIES_13B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B](https://huggingface.co./yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B) as a base.
### Models Merged
The following models were included in the merge:
* ./13B_DPO
* ./13B_MATH_DPO
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B
parameters:
density: 1.0
weight: 1.0
- model: ./13B_MATH_DPO
parameters:
density: 0.5
weight: [0.33, 0.4, 0.33]
- model: ./13B_DPO
parameters:
density: [0.33, 0.45, 0.66]
weight: 0.66
merge_method: dare_ties
base_model: yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
tokenizer_source : union
```
# [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_yunconglong__DARE_TIES_13B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |77.10|
|AI2 Reasoning Challenge (25-Shot)|74.32|
|HellaSwag (10-Shot) |89.50|
|MMLU (5-Shot) |64.47|
|TruthfulQA (0-shot) |78.66|
|Winogrande (5-shot) |88.08|
|GSM8k (5-shot) |67.55|
|