Chatty-Harry_V2.0 / README.md
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---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- spow12/ChatWaifu_12B_v2.0
- anthracite-org/magnum-v4-12b
model-index:
- name: Chatty-Harry_V2.0
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: 33.26
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chatty-Harry_V2.0
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: 32.76
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chatty-Harry_V2.0
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: 13.29
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chatty-Harry_V2.0
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: 9.73
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chatty-Harry_V2.0
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: 11.54
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chatty-Harry_V2.0
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: 29.81
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Chatty-Harry_V2.0
name: Open LLM Leaderboard
---
# Merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
---
Model details:
-
![image/png](https://cdn-uploads.huggingface.co/production/uploads/66c1cc08453a7ef6c5fe657a/0KzNTEtn2kJJQsw4lQeY0.png)
*Do I feel lucky?*
V0.1 was spitting out nonsense, so have attempted a different merge method and parameters.
---
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [anthracite-org/magnum-v4-12b](https://huggingface.co/anthracite-org/magnum-v4-12b) as a base.
### Models Merged
The following models were included in the merge:
* [spow12/ChatWaifu_12B_v2.0](https://huggingface.co/spow12/ChatWaifu_12B_v2.0)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: spow12/ChatWaifu_12B_v2.0
parameters:
density: 0.25
weight: 0.25
- model: anthracite-org/magnum-v4-12b
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: anthracite-org/magnum-v4-12b
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__Chatty-Harry_V2.0-details)
| Metric |Value|
|-------------------|----:|
|Avg. |21.73|
|IFEval (0-Shot) |33.26|
|BBH (3-Shot) |32.76|
|MATH Lvl 5 (4-Shot)|13.29|
|GPQA (0-shot) | 9.73|
|MuSR (0-shot) |11.54|
|MMLU-PRO (5-shot) |29.81|