Dark Forests
Collection
Models for mature, intriguing storytelling and RP/ERP.
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9 items
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Updated
DarkSapling-7B-v2.0
Model Details
- A result of 4 models merge. DARE TIES method was used this time so resulting model better preserves characteristics of all included models than v1.x.
- models used for merge: cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser KoboldAI/Mistral-7B-Holodeck-1 KoboldAI/Mistral-7B-Erebus-v3 cognitivecomputations/samantha-mistral-7b
- See mergekit-config.yml for details on the merge method used.
Warning: This model can produce NSFW content!
Results
- a little different than version v1.0, more romantic and empathetic.
- smarter than versions 1.0 and 1.1.
- best for one-on-one ERP.
- produces SFW nad NSFW content without issues, switches context seamlessly.
- sticks to character card
- pretty smart due to mistral, empathetic after Samantha and sometimes produces dark scenarions - Erebus.
- storytelling is satisfactory due to Holodeck
- good at following instructions
All comments are greatly appreciated, download, test and if you appreciate my work, consider buying me my fuel:
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 64.98 |
| AI2 Reasoning Challenge (25-Shot) | 64.16 |
| HellaSwag (10-Shot) | 85.10 |
| MMLU (5-Shot) | 64.37 |
| TruthfulQA (0-shot) | 52.21 |
| Winogrande (5-shot) | 78.61 |
| GSM8k (5-shot) | 45.41 |
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Collection including TeeZee/DarkSapling-7B-v2.0
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard64.160
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard85.100
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard64.370
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard52.210
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard78.610
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard45.410