metadata

base_model:
  - Sao10K/L3-8B-Stheno-v3.1
  - Nitral-Archive/Poppy_Porpoise-Biomix
  - Hastagaras/HALU-8B-LLAMA3-BRSLURP
  - crestf411/L3-8B-sunfall-abliterated-v0.1
  - cgato/L3-TheSpice-8b-v0.8.3
  - Nitral-AI/Poppy_Porpoise-0.72-L3-8B
library_name: transformers
tags:
  - mergekit
  - merge
  - not-for-all-audiences

Why choose?

The full model name is "Llama-3-8B-Poppy-Sunspice"

RP Model, pretty creative.

Thanks mradermacher for the quants

Thanks MarsupialAI for the quants

EXL2

Update/Notice:

This has a tendency for endless generations. It likes a bit of penalty parameters if this occurs.

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the linear merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: crestf411/L3-8B-sunfall-abliterated-v0.1
    parameters:
      weight: 0.1
  - model: Nitral-AI/Poppy_Porpoise-0.72-L3-8B
    parameters:
      weight: 0.3
  - model: Nitral-Archive/Poppy_Porpoise-Biomix
    parameters:
      weight: 0.1
  - model: Sao10K/L3-8B-Stheno-v3.1
    parameters:
      weight: 0.2
  - model: Hastagaras/HALU-8B-LLAMA3-BRSLURP
    parameters:
      weight: 0.1
  - model: cgato/L3-TheSpice-8b-v0.8.3
    parameters:
      weight: 0.2
merge_method: linear
dtype: float16

Prompt Template:

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

{output}<|eot_id|>