Improve language tag (#3)
Browse files- Improve language tag (2af18d38fbc60b2faf6d26d5ab3649aed6153c66)
Co-authored-by: Loïck BOURDOIS <[email protected]>
README.md
CHANGED
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@@ -1,173 +1,173 @@
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---
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library_name: transformers
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tags:
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- mergekit
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- merge
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base_model:
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- Qwen/Qwen2.5-14B-Instruct
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- qingy2019/Qwen2.5-Math-14B-Instruct
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- Qwen/Qwen2.5-14B
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language:
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- zho
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- eng
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- fra
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- spa
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- por
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-
- deu
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- ita
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- rus
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- jpn
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-
- kor
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-
- vie
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-
- tha
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- ara
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model-index:
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-
- name: Qwen2.5-Ultimate-14B-Instruct
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-
results:
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-
- task:
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type: text-generation
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name: Text Generation
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-
dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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-
metrics:
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-
- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 39.38
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Ultimate-14B-Instruct
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name: Open LLM Leaderboard
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-
- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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-
metrics:
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-
- type: acc_norm
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-
value: 40.58
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-
name: normalized accuracy
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-
source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Ultimate-14B-Instruct
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 28.02
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Ultimate-14B-Instruct
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name: Open LLM Leaderboard
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-
- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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-
metrics:
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-
- type: acc_norm
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-
value: 14.21
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name: acc_norm
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-
source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Ultimate-14B-Instruct
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name: Open LLM Leaderboard
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-
- task:
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-
type: text-generation
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-
name: Text Generation
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-
dataset:
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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-
metrics:
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-
- type: acc_norm
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-
value: 9.89
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name: acc_norm
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-
source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Ultimate-14B-Instruct
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-
name: Open LLM Leaderboard
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-
- task:
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-
type: text-generation
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name: Text Generation
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-
dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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-
split: test
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-
args:
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num_few_shot: 5
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-
metrics:
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-
- type: acc
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-
value: 43.66
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-
name: accuracy
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-
source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Ultimate-14B-Instruct
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name: Open LLM Leaderboard
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-
---
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-
# Qwen2.5 Ultimate 14B Instruct
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-
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Merged using rombodawg's method and using the first iteration of my Qwen2.5 Math 14B Instruct.
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-
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## Merge Details
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-
### Merge Method
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-
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-
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen2.5-14B](https://huggingface.co/Qwen/Qwen2.5-14B) as a base.
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-
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-
### Models Merged
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-
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-
The following models were included in the merge:
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-
* [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)
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-
* [qingy2019/Qwen2.5-Math-14B-Instruct](https://huggingface.co/qingy2019/Qwen2.5-Math-14B-Instruct)
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-
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### Configuration
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-
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-
The following YAML configuration was used to produce this model:
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-
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-
```yaml
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-
models:
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-
- model: qingy2019/Qwen2.5-Math-14B-Instruct
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-
parameters:
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-
weight: 1
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-
density: 1
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| 145 |
-
- model: Qwen/Qwen2.5-14B-Instruct
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-
parameters:
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-
weight: 1
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-
density: 1
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-
merge_method: ties
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-
base_model: Qwen/Qwen2.5-14B
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-
parameters:
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-
weight: 1
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-
density: 1
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-
normalize: true
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-
int8_mask: true
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-
tokenizer_source: qingy2019/Qwen2.5-Math-14B-Instruct
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dtype: bfloat16
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-
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```
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-
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-
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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-
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_qingy2019__Qwen2.5-Ultimate-14B-Instruct)
|
| 163 |
-
|
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-
| Metric |Value|
|
| 165 |
-
|-------------------|----:|
|
| 166 |
-
|Avg. |29.29|
|
| 167 |
-
|IFEval (0-Shot) |39.38|
|
| 168 |
-
|BBH (3-Shot) |40.58|
|
| 169 |
-
|MATH Lvl 5 (4-Shot)|28.02|
|
| 170 |
-
|GPQA (0-shot) |14.21|
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| 171 |
-
|MuSR (0-shot) | 9.89|
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| 172 |
-
|MMLU-PRO (5-shot) |43.66|
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| 173 |
-
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
tags:
|
| 4 |
+
- mergekit
|
| 5 |
+
- merge
|
| 6 |
+
base_model:
|
| 7 |
+
- Qwen/Qwen2.5-14B-Instruct
|
| 8 |
+
- qingy2019/Qwen2.5-Math-14B-Instruct
|
| 9 |
+
- Qwen/Qwen2.5-14B
|
| 10 |
+
language:
|
| 11 |
+
- zho
|
| 12 |
+
- eng
|
| 13 |
+
- fra
|
| 14 |
+
- spa
|
| 15 |
+
- por
|
| 16 |
+
- deu
|
| 17 |
+
- ita
|
| 18 |
+
- rus
|
| 19 |
+
- jpn
|
| 20 |
+
- kor
|
| 21 |
+
- vie
|
| 22 |
+
- tha
|
| 23 |
+
- ara
|
| 24 |
+
model-index:
|
| 25 |
+
- name: Qwen2.5-Ultimate-14B-Instruct
|
| 26 |
+
results:
|
| 27 |
+
- task:
|
| 28 |
+
type: text-generation
|
| 29 |
+
name: Text Generation
|
| 30 |
+
dataset:
|
| 31 |
+
name: IFEval (0-Shot)
|
| 32 |
+
type: HuggingFaceH4/ifeval
|
| 33 |
+
args:
|
| 34 |
+
num_few_shot: 0
|
| 35 |
+
metrics:
|
| 36 |
+
- type: inst_level_strict_acc and prompt_level_strict_acc
|
| 37 |
+
value: 39.38
|
| 38 |
+
name: strict accuracy
|
| 39 |
+
source:
|
| 40 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Ultimate-14B-Instruct
|
| 41 |
+
name: Open LLM Leaderboard
|
| 42 |
+
- task:
|
| 43 |
+
type: text-generation
|
| 44 |
+
name: Text Generation
|
| 45 |
+
dataset:
|
| 46 |
+
name: BBH (3-Shot)
|
| 47 |
+
type: BBH
|
| 48 |
+
args:
|
| 49 |
+
num_few_shot: 3
|
| 50 |
+
metrics:
|
| 51 |
+
- type: acc_norm
|
| 52 |
+
value: 40.58
|
| 53 |
+
name: normalized accuracy
|
| 54 |
+
source:
|
| 55 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Ultimate-14B-Instruct
|
| 56 |
+
name: Open LLM Leaderboard
|
| 57 |
+
- task:
|
| 58 |
+
type: text-generation
|
| 59 |
+
name: Text Generation
|
| 60 |
+
dataset:
|
| 61 |
+
name: MATH Lvl 5 (4-Shot)
|
| 62 |
+
type: hendrycks/competition_math
|
| 63 |
+
args:
|
| 64 |
+
num_few_shot: 4
|
| 65 |
+
metrics:
|
| 66 |
+
- type: exact_match
|
| 67 |
+
value: 28.02
|
| 68 |
+
name: exact match
|
| 69 |
+
source:
|
| 70 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Ultimate-14B-Instruct
|
| 71 |
+
name: Open LLM Leaderboard
|
| 72 |
+
- task:
|
| 73 |
+
type: text-generation
|
| 74 |
+
name: Text Generation
|
| 75 |
+
dataset:
|
| 76 |
+
name: GPQA (0-shot)
|
| 77 |
+
type: Idavidrein/gpqa
|
| 78 |
+
args:
|
| 79 |
+
num_few_shot: 0
|
| 80 |
+
metrics:
|
| 81 |
+
- type: acc_norm
|
| 82 |
+
value: 14.21
|
| 83 |
+
name: acc_norm
|
| 84 |
+
source:
|
| 85 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Ultimate-14B-Instruct
|
| 86 |
+
name: Open LLM Leaderboard
|
| 87 |
+
- task:
|
| 88 |
+
type: text-generation
|
| 89 |
+
name: Text Generation
|
| 90 |
+
dataset:
|
| 91 |
+
name: MuSR (0-shot)
|
| 92 |
+
type: TAUR-Lab/MuSR
|
| 93 |
+
args:
|
| 94 |
+
num_few_shot: 0
|
| 95 |
+
metrics:
|
| 96 |
+
- type: acc_norm
|
| 97 |
+
value: 9.89
|
| 98 |
+
name: acc_norm
|
| 99 |
+
source:
|
| 100 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Ultimate-14B-Instruct
|
| 101 |
+
name: Open LLM Leaderboard
|
| 102 |
+
- task:
|
| 103 |
+
type: text-generation
|
| 104 |
+
name: Text Generation
|
| 105 |
+
dataset:
|
| 106 |
+
name: MMLU-PRO (5-shot)
|
| 107 |
+
type: TIGER-Lab/MMLU-Pro
|
| 108 |
+
config: main
|
| 109 |
+
split: test
|
| 110 |
+
args:
|
| 111 |
+
num_few_shot: 5
|
| 112 |
+
metrics:
|
| 113 |
+
- type: acc
|
| 114 |
+
value: 43.66
|
| 115 |
+
name: accuracy
|
| 116 |
+
source:
|
| 117 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Ultimate-14B-Instruct
|
| 118 |
+
name: Open LLM Leaderboard
|
| 119 |
+
---
|
| 120 |
+
# Qwen2.5 Ultimate 14B Instruct
|
| 121 |
+
|
| 122 |
+
Merged using rombodawg's method and using the first iteration of my Qwen2.5 Math 14B Instruct.
|
| 123 |
+
|
| 124 |
+
## Merge Details
|
| 125 |
+
### Merge Method
|
| 126 |
+
|
| 127 |
+
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen2.5-14B](https://huggingface.co/Qwen/Qwen2.5-14B) as a base.
|
| 128 |
+
|
| 129 |
+
### Models Merged
|
| 130 |
+
|
| 131 |
+
The following models were included in the merge:
|
| 132 |
+
* [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)
|
| 133 |
+
* [qingy2019/Qwen2.5-Math-14B-Instruct](https://huggingface.co/qingy2019/Qwen2.5-Math-14B-Instruct)
|
| 134 |
+
|
| 135 |
+
### Configuration
|
| 136 |
+
|
| 137 |
+
The following YAML configuration was used to produce this model:
|
| 138 |
+
|
| 139 |
+
```yaml
|
| 140 |
+
models:
|
| 141 |
+
- model: qingy2019/Qwen2.5-Math-14B-Instruct
|
| 142 |
+
parameters:
|
| 143 |
+
weight: 1
|
| 144 |
+
density: 1
|
| 145 |
+
- model: Qwen/Qwen2.5-14B-Instruct
|
| 146 |
+
parameters:
|
| 147 |
+
weight: 1
|
| 148 |
+
density: 1
|
| 149 |
+
merge_method: ties
|
| 150 |
+
base_model: Qwen/Qwen2.5-14B
|
| 151 |
+
parameters:
|
| 152 |
+
weight: 1
|
| 153 |
+
density: 1
|
| 154 |
+
normalize: true
|
| 155 |
+
int8_mask: true
|
| 156 |
+
tokenizer_source: qingy2019/Qwen2.5-Math-14B-Instruct
|
| 157 |
+
dtype: bfloat16
|
| 158 |
+
|
| 159 |
+
```
|
| 160 |
+
|
| 161 |
+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
|
| 162 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_qingy2019__Qwen2.5-Ultimate-14B-Instruct)
|
| 163 |
+
|
| 164 |
+
| Metric |Value|
|
| 165 |
+
|-------------------|----:|
|
| 166 |
+
|Avg. |29.29|
|
| 167 |
+
|IFEval (0-Shot) |39.38|
|
| 168 |
+
|BBH (3-Shot) |40.58|
|
| 169 |
+
|MATH Lvl 5 (4-Shot)|28.02|
|
| 170 |
+
|GPQA (0-shot) |14.21|
|
| 171 |
+
|MuSR (0-shot) | 9.89|
|
| 172 |
+
|MMLU-PRO (5-shot) |43.66|
|
| 173 |
+
|