metadata
library_name: transformers
tags:
- mergekit
- merge
base_model:
- ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B
- bunnycore/Qwen-2.5-7b-rp-lora
- bespokelabs/Bespoke-Stratos-7B
- Sakalti/light-7b-beta
- ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B
- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
- fblgit/cybertron-v4-qw7B-MGS
- bunnycore/Qwen-2.5-7b-rp-lora
model-index:
- name: Qwen-2.5-7B-Deep-Stock-v1
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: 56.95
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7B-Deep-Stock-v1
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: 34.08
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7B-Deep-Stock-v1
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: 25.53
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7B-Deep-Stock-v1
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: 3.69
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7B-Deep-Stock-v1
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: 9.96
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7B-Deep-Stock-v1
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: 34.06
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bunnycore/Qwen-2.5-7B-Deep-Stock-v1
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 ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B + bunnycore/Qwen-2.5-7b-rp-lora as a base.
Models Merged
The following models were included in the merge:
- bespokelabs/Bespoke-Stratos-7B
- Sakalti/light-7b-beta
- ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B
- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
- fblgit/cybertron-v4-qw7B-MGS + bunnycore/Qwen-2.5-7b-rp-lora
Configuration
The following YAML configuration was used to produce this model:
merge_method: model_stock
base_model: ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B+bunnycore/Qwen-2.5-7b-rp-lora
tokenizer_source: base
dtype: float32
out_dtype: bfloat16
parameters:
int8_mask: true
normalize: true
rescale: false
models:
- model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
- model: ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B
- model: ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B+bunnycore/Qwen-2.5-7b-rp-lora
- model: Sakalti/light-7b-beta
- model: fblgit/cybertron-v4-qw7B-MGS+bunnycore/Qwen-2.5-7b-rp-lora
- model: bespokelabs/Bespoke-Stratos-7B
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 27.38 |
| IFEval (0-Shot) | 56.95 |
| BBH (3-Shot) | 34.08 |
| MATH Lvl 5 (4-Shot) | 25.53 |
| GPQA (0-shot) | 3.69 |
| MuSR (0-shot) | 9.96 |
| MMLU-PRO (5-shot) | 34.06 |