178 lines
5.0 KiB
Markdown
178 lines
5.0 KiB
Markdown
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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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- FuseAI/FuseChat-Qwen-2.5-7B-Instruct
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- fblgit/cybertron-v4-qw7B-UNAMGS
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- bunnycore/Qwen-2.1-7b-Persona-lora_model
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- prithivMLmods/QwQ-LCoT-7B-Instruct
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- fblgit/cybertron-v4-qw7B-UNAMGS
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model-index:
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- name: FuseQwQen-7B
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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: 72.75
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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=bunnycore/FuseQwQen-7B
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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: 35.91
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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=bunnycore/FuseQwQen-7B
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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: 12.01
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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=bunnycore/FuseQwQen-7B
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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: 5.93
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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=bunnycore/FuseQwQen-7B
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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: 11.98
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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=bunnycore/FuseQwQen-7B
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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: 37.85
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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=bunnycore/FuseQwQen-7B
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name: Open LLM Leaderboard
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---
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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 [linear](https://arxiv.org/abs/2203.05482) merge method.
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### Models Merged
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The following models were included in the merge:
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* [FuseAI/FuseChat-Qwen-2.5-7B-Instruct](https://huggingface.co/FuseAI/FuseChat-Qwen-2.5-7B-Instruct)
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* [fblgit/cybertron-v4-qw7B-UNAMGS](https://huggingface.co/fblgit/cybertron-v4-qw7B-UNAMGS) + [bunnycore/Qwen-2.1-7b-Persona-lora_model](https://huggingface.co/bunnycore/Qwen-2.1-7b-Persona-lora_model)
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* [prithivMLmods/QwQ-LCoT-7B-Instruct](https://huggingface.co/prithivMLmods/QwQ-LCoT-7B-Instruct)
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* [fblgit/cybertron-v4-qw7B-UNAMGS](https://huggingface.co/fblgit/cybertron-v4-qw7B-UNAMGS)
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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: FuseAI/FuseChat-Qwen-2.5-7B-Instruct
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parameters:
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weight: 0.5
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- model: prithivMLmods/QwQ-LCoT-7B-Instruct
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parameters:
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weight: 1.0
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- model: fblgit/cybertron-v4-qw7B-UNAMGS
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parameters:
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weight: 0.3
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- model: fblgit/cybertron-v4-qw7B-UNAMGS+bunnycore/Qwen-2.1-7b-Persona-lora_model
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parameters:
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weight: 0.6
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merge_method: linear
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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/bunnycore__FuseQwQen-7B-details)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |29.40|
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|IFEval (0-Shot) |72.75|
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|BBH (3-Shot) |35.91|
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|MATH Lvl 5 (4-Shot)|12.01|
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|GPQA (0-shot) | 5.93|
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|MuSR (0-shot) |11.98|
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|MMLU-PRO (5-shot) |37.85|
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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/bunnycore__FuseQwQen-7B-details)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |34.68|
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|IFEval (0-Shot) |72.75|
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|BBH (3-Shot) |35.91|
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|MATH Lvl 5 (4-Shot)|43.66|
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|GPQA (0-shot) | 5.93|
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|MuSR (0-shot) |11.98|
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|MMLU-PRO (5-shot) |37.85|
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