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Model: saishf/Multi-Verse-RP-7B Source: Original Platform
2026-05-05 07:27:30 +08:00
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+---
+base_model:
+- ammarali32/multi_verse_model
+- jeiku/Theory_of_Mind_Roleplay_Mistral
+- ammarali32/multi_verse_model
+- jeiku/Alpaca_NSFW_Shuffled_Mistral
+- ammarali32/multi_verse_model
+- jeiku/Theory_of_Mind_Mistral
+- ammarali32/multi_verse_model
+- jeiku/Gnosis_Reformatted_Mistral
+- ammarali32/multi_verse_model
+- ammarali32/multi_verse_model
+- jeiku/Re-Host_Limarp_Mistral
+- ammarali32/multi_verse_model
+- jeiku/Luna_LoRA_Mistral
+library_name: transformers
+license: cc-by-nc-4.0
+tags:
+- mergekit
+- merge
+language:
+- en
+---
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63df7c44f0c75dfb876272c0/EjMKmAvmKoKd_Z7o0b3VK.jpeg)
+Multi verse img!
+# merge
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+* This merge is entirely experimental, I've only tested it a few times but it seems to work? Thanks for all the loras jeiku. I keep getting driver crashes training my own :\
+* Update, It scores well! My highest scoring model so far
+* Self testing results, it can handle non-human characters surprisingly well and does well seperating human actions from non-human actions. I'm happy with it :3
+* Works with alpaca best, Loras' are alpaca. But works with chatml too! 
+### Merge Method
+
+This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [ammarali32/multi_verse_model](https://huggingface.co/ammarali32/multi_verse_model) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [ammarali32/multi_verse_model](https://huggingface.co/ammarali32/multi_verse_model) + [jeiku/Theory_of_Mind_Roleplay_Mistral](https://huggingface.co/jeiku/Theory_of_Mind_Roleplay_Mistral)
+* [ammarali32/multi_verse_model](https://huggingface.co/ammarali32/multi_verse_model) + [jeiku/Alpaca_NSFW_Shuffled_Mistral](https://huggingface.co/jeiku/Alpaca_NSFW_Shuffled_Mistral)
+* [ammarali32/multi_verse_model](https://huggingface.co/ammarali32/multi_verse_model) + [jeiku/Theory_of_Mind_Mistral](https://huggingface.co/jeiku/Theory_of_Mind_Mistral)
+* [ammarali32/multi_verse_model](https://huggingface.co/ammarali32/multi_verse_model) + [jeiku/Gnosis_Reformatted_Mistral](https://huggingface.co/jeiku/Gnosis_Reformatted_Mistral)
+* [ammarali32/multi_verse_model](https://huggingface.co/ammarali32/multi_verse_model) + [jeiku/Re-Host_Limarp_Mistral](https://huggingface.co/jeiku/Re-Host_Limarp_Mistral)
+* [ammarali32/multi_verse_model](https://huggingface.co/ammarali32/multi_verse_model) + [jeiku/Luna_LoRA_Mistral](https://huggingface.co/jeiku/Luna_LoRA_Mistral)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+merge_method: task_arithmetic
+base_model: ammarali32/multi_verse_model
+parameters:
+  normalize: true
+models:
+  - model: ammarali32/multi_verse_model+jeiku/Gnosis_Reformatted_Mistral
+    parameters:
+      weight: 0.7
+  - model: ammarali32/multi_verse_model+jeiku/Theory_of_Mind_Roleplay_Mistral
+    parameters:
+      weight: 0.65
+  - model: ammarali32/multi_verse_model+jeiku/Luna_LoRA_Mistral
+    parameters:
+      weight: 0.5
+  - model: ammarali32/multi_verse_model+jeiku/Re-Host_Limarp_Mistral
+    parameters:
+      weight: 0.8
+  - model: ammarali32/multi_verse_model+jeiku/Alpaca_NSFW_Shuffled_Mistral
+    parameters:
+      weight: 0.75  
+  - model: ammarali32/multi_verse_model+jeiku/Theory_of_Mind_Mistral
+    parameters:
+      weight: 0.7                     
+dtype: float16
+
+```
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_saishf__Multi-Verse-RP-7B)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |74.73|
+|AI2 Reasoning Challenge (25-Shot)|72.35|
+|HellaSwag (10-Shot)              |88.37|
+|MMLU (5-Shot)                    |63.94|
+|TruthfulQA (0-shot)              |73.19|
+|Winogrande (5-shot)              |84.14|
+|GSM8k (5-shot)                   |66.41|
+