--- base_model: [] library_name: transformers tags: - mergekit - merge - llama - conversational license: llama3 --- # L3-Tyche-8B-v1.0 ![Tyche](https://huggingface.co/Azazelle/L3-Tyche-8B-v1.0/resolve/main/TPr9FmCtT0OxPuz2MXxjgw.webp) ## About: This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). **Recommended Samplers:** ``` Temperature - 1.3 TFS - 0.96 Smoothing Factor - 0.3 Smoothing Curve - 1.1 Repetition Penalty - 1.08 ``` ### Merge Method This model was merged a series of model stock and lora merges, followed by ExPO and an attention swap. It uses a mix of smart and roleplay centered models to improve performance. ### Configuration The following YAML configuration was used to produce this model: ```yaml --- models: - model: Nitral-AI/Hathor_Tahsin-L3-8B-v0.85 - model: Nitral-AI/Hathor_Respawn-L3-8B-v0.8 - model: ChaoticNeutrals/Hathor_RP-v.01-L3-8B - model: Sao10K/L3-8B-Stheno-v3.2 - model: yodayo-ai/nephra_v1.0 - model: HiroseKoichi/L3-8B-Lunar-Stheno - model: Jellywibble/lora_120k_pref_data_ep2 - model: Jellywibble/qlora_120k_pref_data_ep1 - model: Jellywibble/meseca-20062024-c1 - model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot - model: Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B - model: ResplendentAI/Nymph_8B+Azazelle/RP_Format_QuoteAsterisk_Llama3 - model: R136a1/Bungo-L3-8B - model: maldv/badger-mu-llama-3-8b - model: TheDrummer/Llama-3SOME-8B-v2 - model: Magpie-Align/Llama-3-8B-Magpie-Align-v0.1+Azazelle/Llama3_RP_ORPO_LoRA - model: grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge+Azazelle/Llama-3-8B-Abomination-LORA - model: NousResearch/Hermes-2-Pro-Llama-3-8B+mpasila/Llama-3-Instruct-LiPPA-LoRA-8B - model: MaziyarPanahi/Llama-3-8B-Instruct-v0.8+Azazelle/Llama-3-Sunfall-8b-lora - model: openchat/openchat-3.6-8b-20240522+Azazelle/BlueMoon_Llama3 - model: collaiborateorg/Collaiborator-MEDLLM-Llama-3-8B-v2+Azazelle/llama3-8b-hikikomori-v0.4 - model: grimjim/Llama-3-Instruct-8B-SPPO-Iter3-SimPO-merge+grimjim/Llama-3-Instruct-abliteration-LoRA-8B merge_method: model_stock base_model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 dtype: float32 vocab_type: bpe name: hq_rp --- # ExPO models: - model: hq_rp parameters: weight: 1.3 merge_method: task_arithmetic base_model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 parameters: normalize: false dtype: float32 vocab_type: bpe name: pre --- # Attention Donor models: - model: Nitral-AI/Hathor_Tahsin-L3-8B-v0.85 - model: Sao10K/L3-8B-Stheno-v3.2 merge_method: model_stock base_model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 dtype: float32 vocab_type: bpe name: donor --- # Attention swap? models: - model: pre merge_method: slerp base_model: donor parameters: t: - filter: mlp value: 0 - value: 1 dtype: float32 vocab_type: bpe ```