159 lines
4.7 KiB
Markdown
159 lines
4.7 KiB
Markdown
---
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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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- Test157t/Pasta-Lake-7b
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- Test157t/Prima-LelantaclesV4-7b-16k
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model-index:
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- name: Prima-LelantaclesV5-7b
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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: 70.65
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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/Prima-LelantaclesV5-7b
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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: 87.87
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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/Prima-LelantaclesV5-7b
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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: 64.52
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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/Prima-LelantaclesV5-7b
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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: 68.26
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV5-7b
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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: 82.4
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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/Prima-LelantaclesV5-7b
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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: 64.82
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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/Prima-LelantaclesV5-7b
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name: Open LLM Leaderboard
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---
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Update: Getting suprisingly good results at 16384 context, which is unexpected given this context pool should remain untouched from other mistral models working around 8192.
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Thanks to @Lewdiculus for the Quants: https://huggingface.co/Lewdiculous/Prima-LelantaclesV5-7b-GGUF
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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.
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The following models were included in the merge:
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* [Test157t/Pasta-Lake-7b](https://huggingface.co/Test157t/Pasta-Lake-7b) + [Test157t/Prima-LelantaclesV4-7b-16k](https://huggingface.co/Test157t/Prima-LelantaclesV4-7b-16k)
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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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merge_method: dare_ties
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base_model: Test157t/Prima-LelantaclesV4-7b-16k
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parameters:
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normalize: true
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models:
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- model: Test157t/Pasta-Lake-7b
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parameters:
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weight: 1
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- model: Test157t/Prima-LelantaclesV4-7b-16k
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parameters:
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weight: 1
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dtype: float16
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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__Prima-LelantaclesV5-7b)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |73.09|
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|AI2 Reasoning Challenge (25-Shot)|70.65|
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|HellaSwag (10-Shot) |87.87|
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|MMLU (5-Shot) |64.52|
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|TruthfulQA (0-shot) |68.26|
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|Winogrande (5-shot) |82.40|
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|GSM8k (5-shot) |64.82|
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