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Model: ChaoticNeutrals/Eris_7B Source: Original Platform
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README.md
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README.md
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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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# 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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