--- base_model: - Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B - bluuwhale/L3-SthenoMaidBlackroot-8B-V1 - Casual-Autopsy/Halu-L3-Stheno-BlackOasis-8B - migtissera/Llama-3-8B-Synthia-v3.5 - tannedbum/L3-Nymeria-Maid-8B - Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B - ChaoticNeutrals/Hathor_RP-v.01-L3-8B - tannedbum/L3-Nymeria-8B - Sao10K/L3-8B-Stheno-v3.1 - cgato/L3-TheSpice-8b-v0.8.3 - ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B - ChaoticNeutrals/Hathor_RP-v.01-L3-8B - aifeifei798/llama3-8B-DarkIdol-1.0 - Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B library_name: transformers tags: - mergekit - merge - not-for-all-audiences - nsfw - rp - roleplay - role-play language: - en pipeline_tag: text-generation --- # L3-Uncen-Merger-Omelette-RP-EXPERIMENTAL This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). # Merge Details An expiremental merger inspired by the merger recipe of [invisietch/EtherealRainbow-v0.3-8B](https://huggingface.co/invisietch/EtherealRainbow-v0.3-8B) combined with a merger technique known as merge densification( [grimjim/kunoichi-lemon-royale-v3-32K-7B](https://huggingface.co/grimjim/kunoichi-lemon-royale-v3-32K-7B) ) The model recipe ended up being something I can only describe as making an omelette. Hence the model name. The models are scrambled with Dare Ties to induce a bit of randomness, then the Dare Ties merges are merged into themselves with SLERP to repair any holes cause by Dare Ties, and finally a bunch of high creativity models are thrown into the merger through merge densification(Task Arithmetic). This model uses a bunch of the top models of the UGI Leaderboard, I picked out a few of the top 8B models of each category. Most of the high creativity models in the last step were found through Lewdiculus' account uploads ## Merge Method Dare Ties, SLERP, and Task Arithmetic ## Models Merged The following models were included in the merge: * [Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B](https://huggingface.co/Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B) * [bluuwhale/L3-SthenoMaidBlackroot-8B-V1](https://huggingface.co/bluuwhale/L3-SthenoMaidBlackroot-8B-V1) * [Casual-Autopsy/Halu-L3-Stheno-BlackOasis-8B](https://huggingface.co/Casual-Autopsy/Halu-L3-Stheno-BlackOasis-8B) * An unreleased Psycology merger of mine * [migtissera/Llama-3-8B-Synthia-v3.5](https://huggingface.co/migtissera/Llama-3-8B-Synthia-v3.5) * [tannedbum/L3-Nymeria-Maid-8B](https://huggingface.co/tannedbum/L3-Nymeria-Maid-8B) * [Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B](https://huggingface.co/Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B) * [ChaoticNeutrals/Hathor_RP-v.01-L3-8B](https://huggingface.co/ChaoticNeutrals/Hathor_RP-v.01-L3-8B) * [tannedbum/L3-Nymeria-8B](https://huggingface.co/tannedbum/L3-Nymeria-8B) * [Sao10K/L3-8B-Stheno-v3.1](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.1) * [cgato/L3-TheSpice-8b-v0.8.3](https://huggingface.co/cgato/L3-TheSpice-8b-v0.8.3) * [ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B) * [ChaoticNeutrals/Hathor_RP-v.01-L3-8B](https://huggingface.co/ChaoticNeutrals/Hathor_RP-v.01-L3-8B) * [aifeifei798/llama3-8B-DarkIdol-1.0](https://huggingface.co/aifeifei798/llama3-8B-DarkIdol-1.0) * [Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B](https://huggingface.co/Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B) # Secret Sauce The following YAML configurations was used to produce this model: ## Scrambled-Egg-1 ```yaml models: - model: Casual-Autopsy/Halu-L3-Stheno-BlackOasis-8B - model: Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B parameters: density: 0.45 weight: 0.33 - model: bluuwhale/L3-SthenoMaidBlackroot-8B-V1 parameters: density: 0.75 weight: 0.33 merge_method: dare_ties base_model: Casual-Autopsy/Halu-L3-Stheno-BlackOasis-8B parameters: int8_mask: true dtype: bfloat16 ``` ## Scrambled-Egg-2 ```yaml models: - model: [An unreleased psychology merger of mine] - model: migtissera/Llama-3-8B-Synthia-v3.5 parameters: density: 0.35 weight: 0.25 - model: tannedbum/L3-Nymeria-Maid-8B parameters: density: 0.65 weight: 0.25 merge_method: dare_ties base_model: [An unreleased psychology merger of mine] parameters: int8_mask: true dtype: bfloat16 ``` ## Scrambled-Egg-3 ```yaml models: - model: Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B - model: tannedbum/L3-Nymeria-8B parameters: density: 0.5 weight: 0.35 - model: ChaoticNeutrals/Hathor_RP-v.01-L3-8B parameters: density: 0.4 weight: 0.2 merge_method: dare_ties base_model: Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B parameters: int8_mask: true dtype: bfloat16 ``` ## Omelette-1 ```yaml models: - model: Casual-Autopsy/Scrambled-Egg-1 - model: Casual-Autopsy/Scrambled-Egg-3 merge_method: slerp base_model: Casual-Autopsy/Scrambled-Egg-1 parameters: t: - value: [0.1, 0.15, 0.2, 0.4, 0.6, 0.4, 0.2, 0.15, 0.1] embed_slerp: true dtype: bfloat16 ``` ## Omelette-2 ```yaml models: - model: Casual-Autopsy/Omelette-1 - model: Casual-Autopsy/Scrambled-Egg-2 merge_method: slerp base_model: Casual-Autopsy/Omelette-1 parameters: t: - value: [0.7, 0.5, 0.3, 0.25, 0.2, 0.25, 0.3, 0.5, 0.7] embed_slerp: true dtype: bfloat16 ``` ## L3-Uncen-Merger-Omelette-8B-EXPERIMENTAL ```yaml models: - model: Casual-Autopsy/Omelette-2 - model: Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B parameters: weight: 0.07 - model: ChaoticNeutrals/Hathor_RP-v.01-L3-8B parameters: weight: 0.01 - model: Sao10K/L3-8B-Stheno-v3.1 parameters: weight: 0.015 - model: aifeifei798/llama3-8B-DarkIdol-1.0 parameters: weight: 0.015 - model: cgato/L3-TheSpice-8b-v0.8.3 parameters: weight: 0.02 - model: ChaoticNeutrals/Poppy_Porpoise-1.4-L3-8B parameters: weight: 0.02 merge_method: task_arithmetic base_model: Casual-Autopsy/Omelette-2 dtype: bfloat16 ```