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--- |
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license: other |
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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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- ChaoticNeutrals/Prodigy_7B |
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- Test157t/Prima-LelantaclesV6-7b |
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model-index: |
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- name: Eris_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: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 71.42 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_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: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 87.99 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_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 (5-Shot) |
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type: cais/mmlu |
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config: all |
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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: 65.24 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_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: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 66.95 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_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: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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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: 84.21 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_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: GSM8k (5-shot) |
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type: gsm8k |
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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: 66.26 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Eris_7B |
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name: Open LLM Leaderboard |
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--- |
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/GZPRq5YCQO6v8v-aF7CQt.png) |
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# Jeitral: "Eris, the Greek goddess of chaos and discord." |
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Notes: Model should be excellent for both RP/Chat related tasks. Seems to be working in both Alpaca/Chatml. |
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```Collaborative effort from both @Jeiku and @Nitral involving what we currently felt were our best individual projects.``` |
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We hope you enjoy! - The Chaotic Neutrals. |
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Imatrix GGUF Quants Thanks to @Lewdiculus: https://huggingface.co/Lewdiculous/Eris_7B-GGUF-IQ-Imatrix |
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The following models were included in the merge: |
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* [ChaoticNeutrals/Prodigy_7B](https://huggingface.co/ChaoticNeutrals/Prodigy_7B) |
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* [Test157t/Prima-LelantaclesV6-7b](https://huggingface.co/Test157t/Prima-LelantaclesV6-7b) |
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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: Test157t/Prima-LelantaclesV6-7b |
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layer_range: [0, 32] |
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- model: ChaoticNeutrals/Prodigy_7B |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: Test157t/Prima-LelantaclesV6-7b |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0, 0.5, 0.3, 0.7, 1] |
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- filter: mlp |
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value: [1, 0.5, 0.7, 0.3, 0] |
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- value: 0.5 |
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dtype: bfloat16 |
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``` |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ChaoticNeutrals__Eris_7B) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |73.68| |
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|AI2 Reasoning Challenge (25-Shot)|71.42| |
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|HellaSwag (10-Shot) |87.99| |
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|MMLU (5-Shot) |65.24| |
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|TruthfulQA (0-shot) |66.95| |
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|Winogrande (5-shot) |84.21| |
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|GSM8k (5-shot) |66.26| |
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