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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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- akjindal53244/Llama-3.1-Storm-8B |
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- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 |
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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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model-index: |
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- name: ZEUS-8B-V10 |
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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: 77.07 |
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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=T145%2FZEUS-8B-V10 |
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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: 32.7 |
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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=T145%2FZEUS-8B-V10 |
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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: 20.09 |
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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=T145%2FZEUS-8B-V10 |
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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: 9.96 |
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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=T145%2FZEUS-8B-V10 |
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name: Open LLM Leaderboard |
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new_version: T145/ZEUS-8B-V13 |
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--- |
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# ZEUS 8B 🌩️ V10 |
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A V2 recreation with a few changes: |
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* Unified tokenizer (no noticeable changes) |
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* Using `int_mask` and `normalize` (the latter being enabled by default in mergekit) |
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* Using a preset seed to create a reproducible config (due to DARE relying on RNG) |
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Expecting little to no change over V2. |
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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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* [akjindal53244/Llama-3.1-Storm-8B](https://huggingface.co/akjindal53244/Llama-3.1-Storm-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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* [arcee-ai/Llama-3.1-SuperNova-Lite](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite) |
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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: 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: 42.0 |
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slices: |
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- sources: |
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- layer_range: [0, 32] |
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model: akjindal53244/Llama-3.1-Storm-8B |
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parameters: |
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density: 0.8 |
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weight: 0.25 |
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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: 0.8 |
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weight: 0.33 |
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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: 0.8 |
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weight: 0.42 |
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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_source: union |
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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-V10-details)! |
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Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=T145/ZEUS-8B-V10)! |
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| Metric |Value (%)| |
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|-------------------|--------:| |
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|**Average** | 30.19| |
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|IFEval (0-Shot) | 77.07| |
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|BBH (3-Shot) | 32.70| |
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|MATH Lvl 5 (4-Shot)| 20.09| |
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|GPQA (0-shot) | 9.96| |
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|MuSR (0-shot) | 9.09| |
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|MMLU-PRO (5-shot) | 32.26| |
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## Changes over V2 |
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| Metric |Change| |
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|-------------------|-----:| |
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|Avg. |+0.12| |
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|IFEval (0-Shot) |-3.22| |
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|BBH (3-Shot) |+1.09| |
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|MATH Lvl 5 (4-Shot)|-1.06| |
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|GPQA (0-shot) |+3.02| |
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|MuSR (0-shot) |+0.85| |
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|MMLU-PRO (5-shot) |+0.08| |