Dark-Chivalry_V1.0 / README.md
Triangle104's picture
Adding Evaluation Results (#1)
575527d verified
---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- ValiantLabs/Llama3.1-8B-ShiningValiant2
- crestf411/L3.1-8B-Slush-v1.1
model-index:
- name: Dark-Chivalry_V1.0
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 43.26
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Dark-Chivalry_V1.0
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 28.03
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Dark-Chivalry_V1.0
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 12.99
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Dark-Chivalry_V1.0
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 5.82
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Dark-Chivalry_V1.0
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 12.64
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Dark-Chivalry_V1.0
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 27.16
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Dark-Chivalry_V1.0
name: Open LLM Leaderboard
---
Model details:
-
![image/png](https://cdn-uploads.huggingface.co/production/uploads/66c1cc08453a7ef6c5fe657a/A9vNZXVnD3xFiZ7cMLOKy.png)
*The dark side of chivalry...*
Big thanks to crestfall and ValientLabs for the models to merge.
Feedback is welcome.
# merge
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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [ValiantLabs/Llama3.1-8B-ShiningValiant2](https://huggingface.co/ValiantLabs/Llama3.1-8B-ShiningValiant2) as a base.
### Models Merged
The following models were included in the merge:
* [crestf411/L3.1-8B-Slush-v1.1](https://huggingface.co/crestf411/L3.1-8B-Slush-v1.1)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: crestf411/L3.1-8B-Slush-v1.1
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: ValiantLabs/Llama3.1-8B-ShiningValiant2
parameters:
normalize: false
int8_mask: true
dtype: float16
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/Triangle104__Dark-Chivalry_V1.0-details)
| Metric |Value|
|-------------------|----:|
|Avg. |21.65|
|IFEval (0-Shot) |43.26|
|BBH (3-Shot) |28.03|
|MATH Lvl 5 (4-Shot)|12.99|
|GPQA (0-shot) | 5.82|
|MuSR (0-shot) |12.64|
|MMLU-PRO (5-shot) |27.16|