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---
tags:
- merge
- mergekit
- lazymergekit
- not-for-all-audiences
- nsfw
- rp
- roleplay
- role-play
license: llama3
language:
- en
pipeline_tag: text-generation
base_model:
- Sao10K/L3-8B-Stheno-v3.2
- ChaoticNeutrals/Poppy_Porpoise-1.0-L3-8B
- Nitral-AI/Hathor_Stable-v0.2-L3-8B
- NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
- Hastagaras/Jamet-8B-L3-MK.V-Blackroot
- openlynn/Llama-3-Soliloquy-8B-v2
- NousResearch/Meta-Llama-3-8B-Instruct
- turboderp/llama3-turbcat-instruct-8b
- VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
- TIGER-Lab/MAmmoTH2-8B-Plus
- jondurbin/bagel-8b-v1.0
- abacusai/Llama-3-Smaug-8B
- failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
- AwanLLM/Awanllm-Llama-3-8B-Cumulus-v1.0
- lodrick-the-lafted/Limon-8B
- vicgalle/Configurable-Llama-3-8B-v0.3
- Undi95/Llama3-Unholy-8B-OAS
- Undi95/Unholy-8B-DPO-OAS
---
# QuantFactory/L3-Scrambled-Eggs-On-Toast-8B-GGUF
This is quantized version of [Casual-Autopsy/L3-Scrambled-Eggs-On-Toast-8B](https://huggingface.co/Casual-Autopsy/L3-Scrambled-Eggs-On-Toast-8B) created using llama.cpp
# Original Model Card
# L3-Scrambled-Eggs-On-Toast-8B
**L3-Scrambled-Eggs-On-Toast-8B** is a role-play model merger **using 18 models** that was made **in 11 merging steps.**
The goal is to create both a creative and smart model by using gradients.
Each model has their own section in the gradient where they have a larger weight to promote intelligence whereas the rest of the models in the section of the gradient have a small weight to promote creativity.
The following models were used as inspiration:
* [grimjim/kunoichi-lemon-royale-v3-32K-7B](https://huggingface.co/grimjim/kunoichi-lemon-royale-v3-32K-7B)
* [invisietch/EtherealRainbow-v0.3-8B](https://huggingface.co/invisietch/EtherealRainbow-v0.3-8B)
* [PJMixers/LLaMa-3-CursedStock-v2.0-8B](https://huggingface.co/PJMixers/LLaMa-3-CursedStock-v2.0-8B)
## Instruct Format
Llama 3
## Settings/Presets
### Instruct/Context
Virt-io's [SillyTavern Presets](https://huggingface.co/Virt-io/SillyTavern-Presets/tree/main/Prompts/LLAMA-3/v1.9) is recommended.
### Sampler Settings
Here are the current recommended settings for **more creativity**
```
Top K: 60
Min P: 0.035
Rep Pen: 1.05
Rep Pen Range: 2048
Pres Pen: 0.15
Smoothing Factor: 0.25
Dyna Temp:
Min Temp: 0.75
Max Temp: 1.5
Expo: 0.85
```
if you want **more adherence**, then the **Naive preset** is recommended
## Quants
Weighted Quants by:
- [Lewdiculous](https://huggingface.co/LWDCLS/L3-Scrambled-Eggs-On-Toast-8B-GGUF-IQ-Imatrix-Request)
- [mradermacher](https://huggingface.co/mradermacher/L3-Scrambled-Eggs-On-Toast-8B-i1-GGUF)
Static Quants by:
- [mradermacher](https://huggingface.co/mradermacher/L3-Scrambled-Eggs-On-Toast-8B-GGUF)
# Secret Sauce
## Models Used
L3-Scrambled-Eggs-On-Toast-8B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2)
* [ChaoticNeutrals/Poppy_Porpoise-1.0-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-1.0-L3-8B)
* [Nitral-AI/Hathor_Stable-v0.2-L3-8B](https://huggingface.co/Nitral-AI/Hathor_Stable-v0.2-L3-8B)
* [NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS)
* [Hastagaras/Jamet-8B-L3-MK.V-Blackroot](https://huggingface.co/Hastagaras/Jamet-8B-L3-MK.V-Blackroot)
* [openlynn/Llama-3-Soliloquy-8B-v2](https://huggingface.co/openlynn/Llama-3-Soliloquy-8B-v2)
* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)
* [turboderp/llama3-turbcat-instruct-8b](https://huggingface.co/turboderp/llama3-turbcat-instruct-8b)
* [VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct)
* [TIGER-Lab/MAmmoTH2-8B-Plus](https://huggingface.co/TIGER-Lab/MAmmoTH2-8B-Plus)
* [jondurbin/bagel-8b-v1.0](https://huggingface.co/jondurbin/bagel-8b-v1.0)
* [abacusai/Llama-3-Smaug-8B](https://huggingface.co/abacusai/Llama-3-Smaug-8B)
* [failspy/Meta-Llama-3-8B-Instruct-abliterated-v3](https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3)
* [AwanLLM/Awanllm-Llama-3-8B-Cumulus-v1.0](https://huggingface.co/AwanLLM/Awanllm-Llama-3-8B-Cumulus-v1.0)
* [lodrick-the-lafted/Limon-8B](https://huggingface.co/lodrick-the-lafted/Limon-8B)
* [vicgalle/Configurable-Llama-3-8B-v0.3](https://huggingface.co/vicgalle/Configurable-Llama-3-8B-v0.3)
* [Undi95/Llama3-Unholy-8B-OAS](https://huggingface.co/Undi95/Llama3-Unholy-8B-OAS)
* [Undi95/Unholy-8B-DPO-OAS](https://huggingface.co/Undi95/Unholy-8B-DPO-OAS)
## YAML Configs Used
The following YAML configs were used to make this mode
### Eggs-and-Bread-RP-pt.1
```yaml
models:
- model: Sao10K/L3-8B-Stheno-v3.2
- model: ChaoticNeutrals/Poppy_Porpoise-1.0-L3-8B
parameters:
density: 0.5
weight: [0.33, 0.0825, 0.0825, 0.0825, 0.0825]
- model: Nitral-AI/Hathor_Stable-v0.2-L3-8B
parameters:
density: 0.5
weight: [0.0825, 0.33, 0.0825, 0.0825, 0.0825]
- model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
parameters:
density: 0.5
weight: [0.0825, 0.0825, 0.33, 0.0825, 0.0825]
- model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
parameters:
density: 0.5
weight: [0.0825, 0.0825, 0.0825, 0.33, 0.0825]
- model: openlynn/Llama-3-Soliloquy-8B-v2
parameters:
density: 0.5
weight: [0.0825, 0.0825, 0.0825, 0.0825, 0.33]
merge_method: dare_ties
base_model: Sao10K/L3-8B-Stheno-v3.2
parameters:
normalize: false
int8_mask: true
dtype: bfloat16
```
### Eggs-and-Bread-RP-pt.2
```yaml
models:
- model: Sao10K/L3-8B-Stheno-v3.2
- model: ChaoticNeutrals/Poppy_Porpoise-1.0-L3-8B
parameters:
gamma: 0.01
density: 0.9
weight: [0.0825, 0.0825, 0.0825, 0.0825, 0.33]
- model: Nitral-AI/Hathor_Stable-v0.2-L3-8B
parameters:
gamma: 0.01
density: 0.9
weight: [0.0825, 0.0825, 0.0825, 0.33, 0.0825]
- model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
parameters:
gamma: 0.01
density: 0.9
weight: [0.0825, 0.0825, 0.33, 0.0825, 0.0825]
- model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
parameters:
gamma: 0.01
density: 0.9
weight: [0.0825, 0.33, 0.0825, 0.0825, 0.0825]
- model: openlynn/Llama-3-Soliloquy-8B-v2
parameters:
gamma: 0.01
density: 0.9
weight: [0.33, 0.0825, 0.0825, 0.0825, 0.0825]
merge_method: breadcrumbs_ties
base_model: Sao10K/L3-8B-Stheno-v3.2
parameters:
normalize: false
int8_mask: true
dtype: bfloat16
```
### Egg-and-Bread-RP
```yaml
models:
- model: Casual-Autopsy/Eggs-and-Bread-RP-pt.1
- model: Casual-Autopsy/Eggs-and-Bread-RP-pt.2
merge_method: slerp
base_model: Casual-Autopsy/Eggs-and-Bread-RP-pt.1
parameters:
t:
- filter: self_attn
value: [0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5]
- filter: mlp
value: [0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5]
- value: 0.5
dtype: bfloat16
```
### Eggs-and-Bread-IQ-pt.1
```yaml
models:
- model: NousResearch/Meta-Llama-3-8B-Instruct
- model: turboderp/llama3-turbcat-instruct-8b
parameters:
density: 0.5
weight: [0.33, 0.0825, 0.0825, 0.0825, 0.0825]
- model: VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
parameters:
density: 0.5
weight: [0.0825, 0.33, 0.0825, 0.0825, 0.0825]
- model: TIGER-Lab/MAmmoTH2-8B-Plus
parameters:
density: 0.5
weight: [0.0825, 0.0825, 0.33, 0.0825, 0.0825]
- model: jondurbin/bagel-8b-v1.0
parameters:
density: 0.5
weight: [0.0825, 0.0825, 0.0825, 0.33, 0.0825]
- model: abacusai/Llama-3-Smaug-8B
parameters:
density: 0.5
weight: [0.0825, 0.0825, 0.0825, 0.0825, 0.33]
merge_method: dare_ties
base_model: NousResearch/Meta-Llama-3-8B-Instruct
parameters:
normalize: false
int8_mask: true
dtype: bfloat16
```
### Eggs-and-Bread-IQ-pt.2
```yaml
models:
- model: NousResearch/Meta-Llama-3-8B-Instruct
- model: turboderp/llama3-turbcat-instruct-8b
parameters:
gamma: 0.01
density: 0.9
weight: [0.0825, 0.0825, 0.0825, 0.0825, 0.33]
- model: VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
parameters:
gamma: 0.01
density: 0.9
weight: [0.0825, 0.0825, 0.0825, 0.33, 0.0825]
- model: TIGER-Lab/MAmmoTH2-8B-Plus
parameters:
gamma: 0.01
density: 0.9
weight: [0.0825, 0.0825, 0.33, 0.0825, 0.0825]
- model: jondurbin/bagel-8b-v1.0
parameters:
gamma: 0.01
density: 0.9
weight: [0.0825, 0.33, 0.0825, 0.0825, 0.0825]
- model: abacusai/Llama-3-Smaug-8B
parameters:
gamma: 0.01
density: 0.9
weight: [0.33, 0.0825, 0.0825, 0.0825, 0.0825]
merge_method: breadcrumbs_ties
base_model: NousResearch/Meta-Llama-3-8B-Instruct
parameters:
normalize: false
int8_mask: true
dtype: bfloat16
```
### Eggs-and-Bread-IQ
```yaml
models:
- model: Casual-Autopsy/Eggs-and-Bread-IQ-pt.1
- model: Casual-Autopsy/Eggs-and-Bread-IQ-pt.2
merge_method: slerp
base_model: Casual-Autopsy/Eggs-and-Bread-IQ-pt.1
parameters:
t:
- filter: self_attn
value: [0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5]
- filter: mlp
value: [0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5]
- value: 0.5
dtype: bfloat16
```
### Eggs-and-Bread-Uncen-pt.1
```yaml
models:
- model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
- model: AwanLLM/Awanllm-Llama-3-8B-Cumulus-v1.0
parameters:
density: 0.5
weight: [0.33, 0.0825, 0.0825, 0.0825, 0.0825]
- model: lodrick-the-lafted/Limon-8B
parameters:
density: 0.5
weight: [0.0825, 0.33, 0.0825, 0.0825, 0.0825]
- model: vicgalle/Configurable-Llama-3-8B-v0.3
parameters:
density: 0.5
weight: [0.0825, 0.0825, 0.33, 0.0825, 0.0825]
- model: Undi95/Llama3-Unholy-8B-OAS
parameters:
density: 0.5
weight: [0.0825, 0.0825, 0.0825, 0.33, 0.0825]
- model: Undi95/Unholy-8B-DPO-OAS
parameters:
density: 0.5
weight: [0.0825, 0.0825, 0.0825, 0.0825, 0.33]
merge_method: dare_ties
base_model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
parameters:
normalize: false
int8_mask: true
dtype: bfloat16
```
### Eggs-and-Bread-Uncen-pt.2
```yaml
models:
- model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
- model: AwanLLM/Awanllm-Llama-3-8B-Cumulus-v1.0
parameters:
gamma: 0.01
density: 0.9
weight: [0.0825, 0.0825, 0.0825, 0.0825, 0.33]
- model: lodrick-the-lafted/Limon-8B
parameters:
gamma: 0.01
density: 0.9
weight: [0.0825, 0.0825, 0.0825, 0.33, 0.0825]
- model: vicgalle/Configurable-Llama-3-8B-v0.3
parameters:
gamma: 0.01
density: 0.9
weight: [0.0825, 0.0825, 0.33, 0.0825, 0.0825]
- model: Undi95/Llama3-Unholy-8B-OAS
parameters:
gamma: 0.01
density: 0.9
weight: [0.0825, 0.33, 0.0825, 0.0825, 0.0825]
- model: Undi95/Unholy-8B-DPO-OAS
parameters:
gamma: 0.01
density: 0.9
weight: [0.33, 0.0825, 0.0825, 0.0825, 0.0825]
merge_method: breadcrumbs_ties
base_model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
parameters:
normalize: false
int8_mask: true
dtype: bfloat16
```
### Eggs-and-Bread-Uncen
```yaml
models:
- model: Casual-Autopsy/Eggs-and-Bread-Uncen-pt.1
- model: Casual-Autopsy/Eggs-and-Bread-Uncen-pt.2
merge_method: slerp
base_model: Casual-Autopsy/Eggs-and-Bread-Uncen-pt.1
parameters:
t:
- filter: self_attn
value: [0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5]
- filter: mlp
value: [0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5, 0.7, 0.3, 0.5, 0.3, 0.7, 0.5]
- value: 0.5
dtype: bfloat16
```
### Scrambled-Eggs-On-Toast-1
```yaml
models:
- model: Casual-Autopsy/Eggs-and-Bread-RP
- model: Casual-Autopsy/Eggs-and-Bread-Uncen
merge_method: slerp
base_model: Casual-Autopsy/Eggs-and-Bread-RP
parameters:
t:
- value: [0.1, 0.15, 0.2, 0.4, 0.6, 0.4, 0.2, 0.15, 0.1]
dtype: bfloat16
```
### L3-Scrambled-Eggs-On-Toast-8B
```yaml
models:
- model: Casual-Autopsy/Scrambled-Eggs-On-Toast-1
- model: Casual-Autopsy/Eggs-and-Bread-IQ
merge_method: slerp
base_model: Casual-Autopsy/Scrambled-Eggs-On-Toast-1
parameters:
t:
- value: [0.7, 0.5, 0.3, 0.25, 0.2, 0.25, 0.3, 0.5, 0.7]
dtype: bfloat16
```
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