--- language: - en license: llama3 library_name: transformers tags: - merge - mergekit - lazymergekit - not-for-all-audiences - nsfw - rp - roleplay - role-play base_model: - Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B - bluuwhale/L3-SthenoMaidBlackroot-8B-V1 - Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B - Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2 - tannedbum/L3-Nymeria-8B - migtissera/Llama-3-8B-Synthia-v3.5 - Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B - tannedbum/L3-Nymeria-Maid-8B - Casual-Autopsy/L3-Uncen-Merger-Omelette-RP-v0.2-8B - aifeifei798/llama3-8B-DarkIdol-2.1-Uncensored-32K - Nitral-AI/Hathor_Stable-v0.2-L3-8B - Sao10K/L3-8B-Stheno-v3.1 pipeline_tag: text-generation model-index: - name: L3-Umbral-Mind-RP-v2.0-8B results: - task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: num_few_shot: 0 metrics: - type: inst_level_strict_acc and prompt_level_strict_acc value: 71.23 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: num_few_shot: 3 metrics: - type: acc_norm value: 32.49 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competition_math args: num_few_shot: 4 metrics: - type: exact_match value: 10.12 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: num_few_shot: 0 metrics: - type: acc_norm value: 4.92 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: num_few_shot: 0 metrics: - type: acc_norm value: 5.55 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU-PRO (5-shot) type: TIGER-Lab/MMLU-Pro config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 30.26 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B name: Open LLM Leaderboard --- Image by ろ47 # Merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Details The goal of this merge was to make an RP model better suited for role-plays with heavy themes such as but not limited to: - Mental illness - Self-harm - Trauma - Suicide I hated how RP models tended to be overly positive and hopeful with role-plays involving such themes, but thanks to [failspy/Llama-3-8B-Instruct-MopeyMule](https://huggingface.co/failspy/Llama-3-8B-Instruct-MopeyMule) this problem has been lessened considerably. If you're an enjoyer of savior/reverse savior type role-plays like myself, then this model is for you. ### Usage Info This model is meant to be used with asterisks/quotes RPing formats, any other format that isn't asterisks/quotes is likely to cause issues ### Quants * [imatrix quants](https://huggingface.co/mradermacher/L3-Umbral-Mind-RP-v2.0-8B-i1-GGUF) by mradermacher * [Static quants](https://huggingface.co/mradermacher/L3-Umbral-Mind-RP-v2.0-8B-GGUF) by mradermacher * Exl2: - [L3-Umbral-Mind-RP-v2.0-8B-8bpw-h8-exl2](https://huggingface.co/riveRiPH/L3-Umbral-Mind-RP-v2.0-8B-8bpw-h8-exl2) by riveRiPH - [L3-Umbral-Mind-RP-v2.0-8B-6.3bpw-h8-exl2](https://huggingface.co/Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B-6.3bpw-h8-exl2) by yours truly - [L3-Umbral-Mind-RP-v2.0-8B-5.3bpw-h6-exl2](https://huggingface.co/riveRiPH/L3-Umbral-Mind-RP-v2.0-8B-5.3bpw-h6-exl2) by riveRiPH ### Merge Method This model was merged using several Task Arithmetic merges and then tied together with a Model Stock merge, followed by another Task Arithmetic merge with a model containing psychology data. ### Models Merged The following models were included in the merge: * [Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B](https://huggingface.co/Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B) * [bluuwhale/L3-SthenoMaidBlackroot-8B-V1](https://huggingface.co/bluuwhale/L3-SthenoMaidBlackroot-8B-V1) * [Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B](https://huggingface.co/Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B) * [Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2](https://huggingface.co/Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2) * [tannedbum/L3-Nymeria-8B](https://huggingface.co/tannedbum/L3-Nymeria-8B) * [migtissera/Llama-3-8B-Synthia-v3.5](https://huggingface.co/migtissera/Llama-3-8B-Synthia-v3.5) * [Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B](https://huggingface.co/Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B) * [tannedbum/L3-Nymeria-Maid-8B](https://huggingface.co/tannedbum/L3-Nymeria-Maid-8B) * [Casual-Autopsy/L3-Uncen-Merger-Omelette-RP-v0.2-8B](https://huggingface.co/Casual-Autopsy/L3-Uncen-Merger-Omelette-RP-v0.2-8B) * [aifeifei798/llama3-8B-DarkIdol-2.1-Uncensored-32K](https://huggingface.co/aifeifei798/llama3-8B-DarkIdol-2.1-Uncensored-32K) * [Nitral-AI/Hathor_Stable-v0.2-L3-8B](https://huggingface.co/Nitral-AI/Hathor_Stable-v0.2-L3-8B) * [Sao10K/L3-8B-Stheno-v3.1](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.1) ## Secret Sauce The following YAML configurations were used to produce this model: ### Umbral-1 ```yaml models: - model: Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B - model: bluuwhale/L3-SthenoMaidBlackroot-8B-V1 parameters: density: 0.45 weight: 0.4 - model: Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B parameters: density: 0.65 weight: 0.1 merge_method: dare_ties base_model: Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B parameters: int8_mask: true dtype: bfloat16 ``` ### Umbral-2 ```yaml models: - model: Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2 - model: tannedbum/L3-Nymeria-8B parameters: density: 0.45 weight: 0.25 - model: migtissera/Llama-3-8B-Synthia-v3.5 parameters: density: 0.65 weight: 0.25 merge_method: dare_ties base_model: Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2 parameters: int8_mask: true dtype: bfloat16 ``` ### Umbral-3 ```yaml models: - model: Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B - model: tannedbum/L3-Nymeria-Maid-8B parameters: density: 0.4 weight: 0.3 - model: Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B parameters: density: 0.6 weight: 0.2 merge_method: dare_ties base_model: Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B parameters: int8_mask: true dtype: bfloat16 ``` ### Mopey-Omelette ```yaml models: - model: Casual-Autopsy/L3-Uncen-Merger-Omelette-RP-v0.2-8B - model: Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B parameters: weight: 0.15 merge_method: task_arithmetic base_model: Casual-Autopsy/L3-Uncen-Merger-Omelette-RP-v0.2-8B dtype: bfloat16 ``` ### Umbral-Mind-1 ```yaml models: - model: Casual-Autopsy/Umbral-1 - model: Casual-Autopsy/Umbral-3 merge_method: slerp base_model: Casual-Autopsy/Umbral-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 ``` ### Umbral-Mind-2 ```yaml models: - model: Casual-Autopsy/Umbral-Mind-1 - model: Casual-Autopsy/Umbral-2 merge_method: slerp base_model: Casual-Autopsy/Umbral-Mind-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 ``` ### Umbral-Mind-3 ```yaml models: - model: Casual-Autopsy/Umbral-Mind-2 - model: Casual-Autopsy/Mopey-Omelette merge_method: slerp base_model: Casual-Autopsy/Umbral-Mind-2 parameters: t: - value: [0.2, 0.25, 0.3, 0.4, 0.3, 0.25, 0.2, 0.25, 0.3, 0.4, 0.3, 0.25, 0.2] embed_slerp: true dtype: bfloat16 ``` ### L3-Umbral-Mind-RP-v2.0-8B ```yaml models: - model: Casual-Autopsy/Umbral-Mind-3 - model: Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B parameters: weight: 0.04 - model: aifeifei798/llama3-8B-DarkIdol-2.1-Uncensored-32K parameters: weight: 0.02 - model: Nitral-AI/Hathor_Stable-v0.2-L3-8B parameters: weight: 0.02 - model: Sao10K/L3-8B-Stheno-v3.1 parameters: weight: 0.01 merge_method: task_arithmetic base_model: Casual-Autopsy/Umbral-Mind-3 dtype: bfloat16 ``` # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Casual-Autopsy__L3-Umbral-Mind-RP-v2.0-8B) | Metric |Value| |-------------------|----:| |Avg. |25.76| |IFEval (0-Shot) |71.23| |BBH (3-Shot) |32.49| |MATH Lvl 5 (4-Shot)|10.12| |GPQA (0-shot) | 4.92| |MuSR (0-shot) | 5.55| |MMLU-PRO (5-shot) |30.26|