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--- |
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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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- openchat/openchat-3.5-0106 |
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model-index: |
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- name: OpenChat-3.5-0106_8.99B_40Layers-Interleaved |
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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: 59.76 |
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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=Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Interleaved |
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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: 24.08 |
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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=Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Interleaved |
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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: 6.8 |
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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=Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Interleaved |
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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: 7.27 |
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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=Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Interleaved |
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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: 11.51 |
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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=Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Interleaved |
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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: 25.54 |
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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=Pretergeek/OpenChat-3.5-0106_8.99B_40Layers-Interleaved |
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name: Open LLM Leaderboard |
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--- |
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<p align="center"> |
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<a href="https://ko-fi.com/pretergeek">Buy me a Ko-Fi</a> • |
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<a href="https://patreon.com/Pretergeek">Support my work using Patreon</a> |
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</p> |
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# OpenChat-3.5-0106_8.99B_40Layers-Interleaved |
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This is NOT your usual frankenmerge 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 passthrough merge method, but employing the Block Expansion method described in the paper [LLaMA Pro: Progressive LLaMA with Block Expansion](https://arxiv.org/abs/2401.02415). |
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The authors of the paper added new layers interleaved in between the original layers of the model, setting the parameters of the o_proj and down_proj layers to zero. This effectively adds layers that will just output their input (as if they were "transparent") allowing the model to remain functional even without further training. These new layers can then be targeted during training or fine-tuning without risking catastrophic forgetting, if you follow the author's training method to freeze the original layers and only train the new layers. |
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This model has not yet received additional training, so it should perform close to the original model. |
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### Models Merged |
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The following models were included in the merge: |
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* [openchat/openchat-3.5-0106](https://huggingface.co./openchat/openchat-3.5-0106) |
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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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slices: |
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- sources: |
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- model: openchat/openchat-3.5-0106 |
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layer_range: [0, 4] |
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- sources: |
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- model: openchat/openchat-3.5-0106 |
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layer_range: [3, 4] |
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parameters: |
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scale: |
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- filter: o_proj |
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value: 0.0 |
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- filter: down_proj |
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value: 0.0 |
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- value: 1.0 |
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- sources: |
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- model: openchat/openchat-3.5-0106 |
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layer_range: [4, 8] |
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- sources: |
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- model: openchat/openchat-3.5-0106 |
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layer_range: [7, 8] |
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parameters: |
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scale: |
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- filter: o_proj |
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value: 0.0 |
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- filter: down_proj |
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value: 0.0 |
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- value: 1.0 |
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- sources: |
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- model: openchat/openchat-3.5-0106 |
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layer_range: [8, 12] |
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- sources: |
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- model: openchat/openchat-3.5-0106 |
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layer_range: [11, 12] |
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parameters: |
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scale: |
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- filter: o_proj |
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value: 0.0 |
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- filter: down_proj |
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value: 0.0 |
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- value: 1.0 |
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- sources: |
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- model: openchat/openchat-3.5-0106 |
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layer_range: [12, 16] |
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- sources: |
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- model: openchat/openchat-3.5-0106 |
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layer_range: [15, 16] |
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parameters: |
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scale: |
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- filter: o_proj |
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value: 0.0 |
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- filter: down_proj |
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value: 0.0 |
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- value: 1.0 |
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- sources: |
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- model: openchat/openchat-3.5-0106 |
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layer_range: [16, 20] |
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- sources: |
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- model: openchat/openchat-3.5-0106 |
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layer_range: [19, 20] |
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parameters: |
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scale: |
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- filter: o_proj |
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value: 0.0 |
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- filter: down_proj |
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value: 0.0 |
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- value: 1.0 |
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- sources: |
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- model: openchat/openchat-3.5-0106 |
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layer_range: [20, 24] |
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- sources: |
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- model: openchat/openchat-3.5-0106 |
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layer_range: [23, 24] |
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parameters: |
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scale: |
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- filter: o_proj |
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value: 0.0 |
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- filter: down_proj |
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value: 0.0 |
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- value: 1.0 |
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- sources: |
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- model: openchat/openchat-3.5-0106 |
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layer_range: [24, 28] |
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- sources: |
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- model: openchat/openchat-3.5-0106 |
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layer_range: [27, 28] |
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parameters: |
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scale: |
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- filter: o_proj |
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value: 0.0 |
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- filter: down_proj |
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value: 0.0 |
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- value: 1.0 |
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- sources: |
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- model: openchat/openchat-3.5-0106 |
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layer_range: [28, 32] |
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- sources: |
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- model: openchat/openchat-3.5-0106 |
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layer_range: [31, 32] |
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parameters: |
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scale: |
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- filter: o_proj |
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value: 0.0 |
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- filter: down_proj |
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value: 0.0 |
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- value: 1.0 |
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merge_method: passthrough |
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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/details_Pretergeek__OpenChat-3.5-0106_8.99B_40Layers-Interleaved) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |22.49| |
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|IFEval (0-Shot) |59.76| |
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|BBH (3-Shot) |24.08| |
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|MATH Lvl 5 (4-Shot)| 6.80| |
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|GPQA (0-shot) | 7.27| |
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|MuSR (0-shot) |11.51| |
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|MMLU-PRO (5-shot) |25.54| |
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## Citation |
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``` |
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@misc{wu2024llamaproprogressivellama, |
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title={LLaMA Pro: Progressive LLaMA with Block Expansion}, |
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author={Chengyue Wu and Yukang Gan and Yixiao Ge and Zeyu Lu and Jiahao Wang and Ye Feng and Ying Shan and Ping Luo}, |
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year={2024}, |
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eprint={2401.02415}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2401.02415}, |
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} |
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``` |
