155 lines
3.9 KiB
Markdown
155 lines
3.9 KiB
Markdown
---
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language:
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- en
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license: cc-by-sa-4.0
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library_name: transformers
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tags:
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- finetune
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base_model:
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- jeiku/FloraBase
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- jeiku/Synthetic_Soul_1k_Mistral_128
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datasets:
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- ResplendentAI/Synthetic_Soul_1k
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model-index:
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- name: Flora_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: 72.1
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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=ResplendentAI/Flora_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: 88.31
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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=ResplendentAI/Flora_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: 64.16
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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=ResplendentAI/Flora_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: 71.19
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ResplendentAI/Flora_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: 84.45
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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=ResplendentAI/Flora_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: 65.35
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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=ResplendentAI/Flora_7B
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name: Open LLM Leaderboard
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---
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# Flora
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Quants available here:
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https://huggingface.co/bartowski/Flora_7B-GGUF
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https://huggingface.co/bartowski/Flora_7B-exl2
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https://huggingface.co/solidrust/Flora-7B-AWQ
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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: linear
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models:
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- model: jeiku/FloraBase+jeiku/Synthetic_Soul_1k_Mistral_128
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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_ResplendentAI__Flora_7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |74.26|
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|AI2 Reasoning Challenge (25-Shot)|72.10|
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|HellaSwag (10-Shot) |88.31|
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|MMLU (5-Shot) |64.16|
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|TruthfulQA (0-shot) |71.19|
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|Winogrande (5-shot) |84.45|
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|GSM8k (5-shot) |65.35|
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