| | --- |
| | 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 |
| | --- |
| | |
| |  |
| | 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| |
| |
|
| |
|
