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README.md
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---
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language:
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- en
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base_model: Nitral-AI/Poppy_Porpoise-0.85-L3-8B
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license: other
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model-index:
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- name: Poppy_Porpoise-0.85-L3-8B
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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: 63.4
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name: normalized accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Nitral-AI/Poppy_Porpoise-0.85-L3-8B
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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: 82.89
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name: normalized accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Nitral-AI/Poppy_Porpoise-0.85-L3-8B
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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: 68.04
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name: accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Nitral-AI/Poppy_Porpoise-0.85-L3-8B
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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: 54.12
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Nitral-AI/Poppy_Porpoise-0.85-L3-8B
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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: 77.9
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name: accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Nitral-AI/Poppy_Porpoise-0.85-L3-8B
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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: 69.07
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name: accuracy
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source:
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url: >-
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https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Nitral-AI/Poppy_Porpoise-0.85-L3-8B
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name: Open LLM Leaderboard
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library_name: transformers
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pipeline_tag: text-generation
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---
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# Poppy_Porpoise-0.85-L3-8B-GGUF
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This is quantized version of [Nitral-AI/Poppy_Porpoise-0.85-L3-8B]() created using llama.cpp
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# Model Description
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"Poppy Porpoise" is a cutting-edge AI roleplay assistant based on the Llama 3 8B model, specializing in crafting unforgettable narrative experiences. With its advanced language capabilities, Poppy expertly immerses users in an interactive and engaging adventure, tailoring each adventure to their individual preferences.
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# Recomended ST Presets:(Updated for 0.85) [Porpoise Presets](https://huggingface.co/Nitral-8B-r1/tree/main/Presets)
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If you want to use vision functionality:
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* You must use the latest versions of [Koboldcpp](https://github.com/LostRuins/koboldcpp).
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# To use the multimodal capabilities of this model and use **vision** you need to load the specified **mmproj** file, this can be found inside this model repo. [Llava MMProj](https://huggingface.co/Nitral-AI/Llama-3-Update-2.0-mmproj-model-f16)
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* You can load the **mmproj** by using the corresponding section in the interface:
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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_Nitral-AI__Poppy_Porpoise-0.85-L3-8B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |69.24|
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|AI2 Reasoning Challenge (25-Shot)|63.40|
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|HellaSwag (10-Shot) |82.89|
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|MMLU (5-Shot) |68.04|
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|TruthfulQA (0-shot) |54.12|
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|Winogrande (5-shot) |77.90|
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|GSM8k (5-shot) |69.07|
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