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Model: Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview Source: Original Platform
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README.md
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---
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base_model:
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- rombodawg/Rombos-LLM-V2.5-Qwen-7b
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- suayptalha/Clarus-7B-v0.1
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- gz987/qwen2.5-7b-cabs-v0.3
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- prithivMLmods/WebMind-7B-v0.1
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- fblgit/cybertron-v4-qw7B-MGS
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- Xiaojian9992024/Qwen2.5-THREADRIPPER-Small
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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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model-index:
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- name: Qwen2.5-Dyanka-7B-Preview
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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: wis-k/instruction-following-eval
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split: train
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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: 76.4
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name: averaged accuracy
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source:
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url: >-
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview
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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: SaylorTwift/bbh
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split: test
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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: 36.62
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name: normalized accuracy
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source:
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url: >-
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview
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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: lighteval/MATH-Hard
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split: test
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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: 48.79
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name: exact match
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source:
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url: >-
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview
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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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split: train
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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: 8.95
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name: acc_norm
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source:
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url: >-
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview
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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: 15.51
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name: acc_norm
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source:
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url: >-
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview
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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: 37.51
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name: accuracy
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source:
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url: >-
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https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview
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name: Open LLM Leaderboard
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license: apache-2.0
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---
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.png)
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [gz987/qwen2.5-7b-cabs-v0.3](https://huggingface.co/gz987/qwen2.5-7b-cabs-v0.3) as a base.
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### Models Merged
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The following models were included in the merge:
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* [rombodawg/Rombos-LLM-V2.5-Qwen-7b](https://huggingface.co/rombodawg/Rombos-LLM-V2.5-Qwen-7b)
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* [suayptalha/Clarus-7B-v0.1](https://huggingface.co/suayptalha/Clarus-7B-v0.1)
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* [prithivMLmods/WebMind-7B-v0.1](https://huggingface.co/prithivMLmods/WebMind-7B-v0.1)
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* [fblgit/cybertron-v4-qw7B-MGS](https://huggingface.co/fblgit/cybertron-v4-qw7B-MGS)
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* [Xiaojian9992024/Qwen2.5-THREADRIPPER-Small](https://huggingface.co/Xiaojian9992024/Qwen2.5-THREADRIPPER-Small)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: gz987/qwen2.5-7b-cabs-v0.3
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#no parameters necessary for base model
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- model: suayptalha/Clarus-7B-v0.1
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parameters:
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density: 0.2
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weight: 0.2
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- model: Xiaojian9992024/Qwen2.5-THREADRIPPER-Small
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parameters:
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density: 0.2
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weight: 0.2
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- model: rombodawg/Rombos-LLM-V2.5-Qwen-7b
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parameters:
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density: 0.2
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weight: 0.2
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- model: prithivMLmods/WebMind-7B-v0.1
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parameters:
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density: 0.2
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weight: 0.2
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- model: fblgit/cybertron-v4-qw7B-MGS
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parameters:
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density: 0.2
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weight: 0.2
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merge_method: ties
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base_model: gz987/qwen2.5-7b-cabs-v0.3
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parameters:
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normalize: false
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int8_mask: true
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dtype: bfloat16
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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/Xiaojian9992024__Qwen2.5-Dyanka-7B-Preview-details)!
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Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=Xiaojian9992024%2FQwen2.5-Dyanka-7B-Preview&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
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| Metric |Value (%)|
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|-------------------|--------:|
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|**Average** | 37.30|
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|IFEval (0-Shot) | 76.40|
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|BBH (3-Shot) | 36.62|
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|MATH Lvl 5 (4-Shot)| 48.79|
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|GPQA (0-shot) | 8.95|
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|MuSR (0-shot) | 15.51|
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|MMLU-PRO (5-shot) | 37.51|
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