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Model: suayptalha/Lix-14B-v0.1 Source: Original Platform
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README.md
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README.md
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---
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language:
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- en
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license: apache-2.0
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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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- sthenno-com/miscii-14b-0218
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- wanlige/li-14b-v0.4-slerp0.1
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- wanlige/li-14b-v0.4
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pipeline_tag: text-generation
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model-index:
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- name: Lix-14B-v0.1
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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: 78.13
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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=suayptalha/Lix-14B-v0.1
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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: 51.47
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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=suayptalha/Lix-14B-v0.1
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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: 52.95
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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=suayptalha/Lix-14B-v0.1
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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: 16.0
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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=suayptalha/Lix-14B-v0.1
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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: 13.42
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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=suayptalha/Lix-14B-v0.1
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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: 47.94
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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=suayptalha/Lix-14B-v0.1
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name: Open LLM Leaderboard
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---
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# Merged Model
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> [!TIP] This model is currently ranked #3 among the models up to 15B parameters and #59 among all models on the [Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard).
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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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [wanlige/li-14b-v0.4](https://huggingface.co/wanlige/li-14b-v0.4) 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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* [sthenno-com/miscii-14b-0218](https://huggingface.co/sthenno-com/miscii-14b-0218)
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* [wanlige/li-14b-v0.4-slerp0.1](https://huggingface.co/wanlige/li-14b-v0.4-slerp0.1)
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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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name: Lix-14B-v0.1
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merge_method: model_stock
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base_model: wanlige/li-14b-v0.4
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tokenizer_source: base
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dtype: bfloat16
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out_dtype: bfloat16
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parameters:
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int8_mask: true
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normalize: true
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rescale: false
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models:
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- model: wanlige/li-14b-v0.4-slerp0.1
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- model: sthenno-com/miscii-14b-0218
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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/suayptalha__Lix-14B-v0.1-details)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |43.32|
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|IFEval (0-Shot) |78.13|
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|BBH (3-Shot) |51.47|
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|MATH Lvl 5 (4-Shot)|52.95|
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|GPQA (0-shot) |16.00|
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|MuSR (0-shot) |13.42|
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|MMLU-PRO (5-shot) |47.94|
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<a href="https://www.buymeacoffee.com/suayptalha" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>
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