metadata
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- CultriX/Qwen2.5-14B-MergeStock
- CultriX/SeQwence-14Bv1
- allknowingroger/QwenStock1-14B
- CultriX/Qwen2.5-14B-Wernicke
- allknowingroger/QwenStock2-14B
- allknowingroger/Qwenslerp2-14B
- CultriX/Qwen2.5-14B-MegaMerge-pt2
- CultriX/Qwestion-14B
model-index:
- name: QwenStock3-14B
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: 56.15
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock3-14B
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: 50.58
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock3-14B
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: 29.68
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock3-14B
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: 17.11
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock3-14B
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: 19.11
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock3-14B
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: 49.2
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=allknowingroger/QwenStock3-14B
name: Open LLM Leaderboard
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using CultriX/SeQwence-14Bv1 as a base.
Models Merged
The following models were included in the merge:
- CultriX/Qwen2.5-14B-MergeStock
- allknowingroger/QwenStock1-14B
- CultriX/Qwen2.5-14B-Wernicke
- allknowingroger/QwenStock2-14B
- allknowingroger/Qwenslerp2-14B
- CultriX/Qwen2.5-14B-MegaMerge-pt2
- CultriX/Qwestion-14B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: CultriX/Qwen2.5-14B-MergeStock
- model: CultriX/SeQwence-14Bv1
- model: allknowingroger/Qwenslerp2-14B
- model: allknowingroger/QwenStock1-14B
- model: allknowingroger/QwenStock2-14B
- model: CultriX/Qwestion-14B
- model: CultriX/Qwen2.5-14B-Wernicke
- model: CultriX/Qwen2.5-14B-MegaMerge-pt2
base_model: CultriX/SeQwence-14Bv1
merge_method: model_stock
parameters:
normalize: true
dtype: bfloat16
tokenizer_source: CultriX/SeQwence-14Bv1
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 36.97 |
| IFEval (0-Shot) | 56.15 |
| BBH (3-Shot) | 50.58 |
| MATH Lvl 5 (4-Shot) | 29.68 |
| GPQA (0-shot) | 17.11 |
| MuSR (0-shot) | 19.11 |
| MMLU-PRO (5-shot) | 49.20 |