---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
- llama
- conversational
license: llama3
---
# L3-Hecate-8B-v1.0

![Hecate](https://huggingface.co/Azazelle/L3-Hecate-8B-v1.0/resolve/main/IhBchsAoR4ao0D2C2AEKuw.jpg)

## About:

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

**Recommended Samplers:**

```
Temperature - 1.0
TFS - 0.85
Smoothing Factor - 0.3
Smoothing Curve - 1.1
Repetition Penalty - 1.1
```

### Merge Method

This model was merged a series of model stock and lora merges, followed by ExPO. 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_Stable-v0.2-L3-8B
  - model: Sao10K/L3-8B-Stheno-v3.2
  - model: Jellywibble/lora_120k_pref_data_ep2
  - model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
  - model: Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-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: 1.25
merge_method: task_arithmetic
base_model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
parameters:
  normalize: false
dtype: float32
vocab_type: bpe
```