Poppy_Porpoise-0.85-L3-8B-GGUF
This is quantized version of Nitral-AI/Poppy_Porpoise-0.85-L3-8B created using llama.cpp
Model Description
"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.
Recomended ST Presets:(Updated for 0.85) Porpoise Presets
If you want to use vision functionality:
- You must use the latest versions of Koboldcpp.
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
- You can load the mmproj by using the corresponding section in the interface:
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 69.24 |
| AI2 Reasoning Challenge (25-Shot) | 63.40 |
| HellaSwag (10-Shot) | 82.89 |
| MMLU (5-Shot) | 68.04 |
| TruthfulQA (0-shot) | 54.12 |
| Winogrande (5-shot) | 77.90 |
| GSM8k (5-shot) | 69.07 |
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Model tree for QuantFactory/Poppy_Porpoise-0.85-L3-8B-GGUF
Base model
ChaoticNeutrals/Poppy_Porpoise-1.0-L3-8B
Quantized
this model
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard63.400
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard82.890
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard68.040
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard54.120
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard77.900
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard69.070