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