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--- |
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base_model: |
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- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 |
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- VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct |
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- arcee-ai/Llama-3.1-SuperNova-Lite |
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- unsloth/Meta-Llama-3.1-8B-Instruct |
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- unsloth/Llama-3.1-Storm-8B |
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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: ZEUS-8B-V24 |
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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: 60.0 |
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name: averaged accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=T145%2FZEUS-8B-V24 |
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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: 26.15 |
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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#/?search=T145%2FZEUS-8B-V24 |
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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: 13.9 |
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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#/?search=T145%2FZEUS-8B-V24 |
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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: 1.57 |
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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#/?search=T145%2FZEUS-8B-V24 |
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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: 4.71 |
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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#/?search=T145%2FZEUS-8B-V24 |
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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: 25.38 |
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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#/?search=T145%2FZEUS-8B-V24 |
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name: Open LLM Leaderboard |
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--- |
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# ZEUS 8B 🌩️ V24 |
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|
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [unsloth/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct) 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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* [Skywork/Skywork-o1-Open-Llama-3.1-8B](https://huggingface.co/Skywork/Skywork-o1-Open-Llama-3.1-8B) |
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* [FreedomIntelligence/HuatuoGPT-o1-8B](https://huggingface.co/FreedomIntelligence/HuatuoGPT-o1-8B) |
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* [Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2](https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2) |
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* [VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct) |
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* output\strawberry-patch |
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* [arcee-ai/Llama-3.1-SuperNova-Lite](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite) |
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* [unsloth/Llama-3.1-Storm-8B](https://huggingface.co/unsloth/Llama-3.1-Storm-8B) |
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|
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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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base_model: Skywork/Skywork-o1-Open-Llama-3.1-8B |
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dtype: bfloat16 |
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merge_method: slerp |
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parameters: |
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t: |
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- value: 0.5 |
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slices: |
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- sources: |
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- layer_range: [0, 32] |
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model: Skywork/Skywork-o1-Open-Llama-3.1-8B |
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- layer_range: [0, 32] |
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model: FreedomIntelligence/HuatuoGPT-o1-8B |
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--- |
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base_model: unsloth/Meta-Llama-3.1-8B-Instruct |
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dtype: bfloat16 |
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merge_method: dare_ties |
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parameters: |
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int8_mask: 1.0 |
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normalize: 1.0 |
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random_seed: 145.0 |
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slices: |
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- sources: |
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- layer_range: [0, 32] |
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model: unsloth/Llama-3.1-Storm-8B |
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parameters: |
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density: 0.94 |
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weight: 0.35 |
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- layer_range: [0, 32] |
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model: arcee-ai/Llama-3.1-SuperNova-Lite |
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parameters: |
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density: 0.92 |
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weight: 0.26 |
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- layer_range: [0, 32] |
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model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct |
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parameters: |
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density: 0.91 |
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weight: 0.2 |
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- layer_range: [0, 32] |
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model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 |
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parameters: |
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density: 0.93 |
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weight: 0.19 |
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- layer_range: [0, 32] |
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model: output\strawberry-patch |
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parameters: |
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density: 0.92 |
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weight: |
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- filter: self_attn.o_proj |
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value: 0.26 |
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- filter: mlp.down_proj |
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value: 0.26 |
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- filter: layers.18. |
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value: 0.26 |
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- filter: layers.19. |
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value: 0.26 |
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- filter: layers.20. |
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value: 0.26 |
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- value: 0.0 |
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- layer_range: [0, 32] |
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model: unsloth/Meta-Llama-3.1-8B-Instruct |
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tokenizer: |
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tokens: |
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<|begin_of_text|>: |
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force: true |
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source: unsloth/Meta-Llama-3.1-8B-Instruct |
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<|eot_id|>: |
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force: true |
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source: unsloth/Meta-Llama-3.1-8B-Instruct |
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<|finetune_right_pad_id|>: |
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force: true |
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source: unsloth/Meta-Llama-3.1-8B-Instruct |
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pad_token: |
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force: true |
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source: |
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kind: model_token |
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model: unsloth/Meta-Llama-3.1-8B-Instruct |
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token_id: 128004 |
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``` |
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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/T145__ZEUS-8B-V24-details)! |
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Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=T145%2FZEUS-8B-V24&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)! |
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|
|
| Metric |Value (%)| |
|
|-------------------|--------:| |
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|**Average** | 21.95| |
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|IFEval (0-Shot) | 60.00| |
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|BBH (3-Shot) | 26.15| |
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|MATH Lvl 5 (4-Shot)| 13.90| |
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|GPQA (0-shot) | 1.57| |
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|MuSR (0-shot) | 4.71| |
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|MMLU-PRO (5-shot) | 25.38| |
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|
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|
