Main Models
Collection
My main models that I use or have used
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4 items
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Updated
This is a merge of pre-trained language models created using mergekit.
Recommended Samplers:
Temperature - 1.0
TFS - 0.85
Smoothing Factor - 0.3
Smoothing Curve - 1.1
Repetition Penalty - 1.1
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.
The following YAML configuration was used to produce this model:
---
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