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--- |
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base_model: |
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- NousResearch/Meta-Llama-3-8B-Instruct |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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- llama |
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- conversational |
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license: llama3 |
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--- |
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# L3-Hecate-8B-v1.2 |
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![Hecate](https://huggingface.co/Azazelle/L3-Hecate-8B-v1.2/resolve/main/img-lk8aRDQYDBJf0C02UowUk.jpeg) |
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## About: |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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**Recommended Samplers:** |
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``` |
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Temperature - 1.0 |
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TFS - 0.7 |
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Smoothing Factor - 0.3 |
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Smoothing Curve - 1.1 |
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Repetition Penalty - 1.08 |
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``` |
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### Merge Method |
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This model was merged a series of model stock, followed by ExPO. It uses a mix of roleplay models to improve performance. |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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--- |
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# Concise-Mopey |
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models: |
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- model: Salesforce/LLaMA-3-8B-SFR-Iterative-DPO-Concise-R |
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parameters: |
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weight: 1.0 |
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- model: failspy/Llama-3-8B-Instruct-MopeyMule |
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parameters: |
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weight: 1.0 |
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merge_method: task_arithmetic |
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base_model: NousResearch/Meta-Llama-3-8B-Instruct |
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parameters: |
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normalize: false |
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dtype: float32 |
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vocab_type: bpe |
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name: Concise-Mopey |
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--- |
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# Mopey RP Mix |
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models: |
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- model: Concise-Mopey+Azazelle/Llama-3-Sunfall-8b-lora |
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- model: Concise-Mopey+Azazelle/Llama-3-8B-Abomination-LORA |
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- model: Concise-Mopey+Azazelle/llama3-8b-hikikomori-v0.4 |
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- model: Concise-Mopey+Azazelle/Llama-3-Instruct-LiPPA-LoRA-8B |
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- model: Concise-Mopey+Azazelle/BlueMoon_Llama3 |
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- model: Concise-Mopey+Azazelle/Llama3_RP_ORPO_LoRA |
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- model: Concise-Mopey+mpasila/Llama-3-LimaRP-Instruct-LoRA-8B |
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- model: Concise-Mopey+Azazelle/Llama-3-LongStory-LORA |
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merge_method: model_stock |
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base_model: failspy/Llama-3-8B-Instruct-MopeyMule |
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dtype: float32 |
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vocab_type: bpe |
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name: mopey_rp |
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--- |
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models: |
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- model: Nitral-AI/Hathor_Tahsin-L3-8B-v0.85 |
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- model: Sao10K/L3-8B-Tamamo-v1 |
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- model: Sao10K/L3-8B-Niitama-v1 |
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- model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot |
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- model: nothingiisreal/L3-8B-Celeste-v1 |
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- model: Jellywibble/lora_120k_pref_data_ep2 |
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- model: Nitral-AI/Hathor_Stable-v0.2-L3-8B |
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- model: mopey_rp |
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merge_method: model_stock |
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base_model: NousResearch/Meta-Llama-3-8B-Instruct |
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dtype: float32 |
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vocab_type: bpe |
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name: hq_rp |
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--- |
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# ExPO |
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models: |
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- model: hq_rp |
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parameters: |
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weight: |
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- filter: mlp |
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value: 1.15 |
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- filter: self_attn |
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value: 1.025 |
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- value: 1.0 |
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merge_method: task_arithmetic |
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base_model: NousResearch/Meta-Llama-3-8B-Instruct |
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parameters: |
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normalize: false |
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dtype: float32 |
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vocab_type: bpe |
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``` |