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Model: Casual-Autopsy/L3-Super-Nova-RP-8B
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---
pipeline_tag: text-generation
library_name: transformers
language:
- en
license: llama3
tags:
- mergekit
- merge
- multi-step merge
- not-for-all-audiences
- nsfw
- rp
- roleplay
- role-play
- summarization
- emotion classification
base_model:
- nothingiisreal/L3-8B-Celeste-v1
- Nitral-AI/Hathor_Tahsin-L3-8B-v0.85
- Sao10K/L3-8B-Stheno-v3.2
- ChaoticNeutrals/Poppy_Porpoise-1.0-L3-8B
- Sao10K/L3-8B-Lunaris-v1
- turboderp/llama3-turbcat-instruct-8b
- ChaoticNeutrals/Domain-Fusion-L3-8B
- migtissera/Llama-3-8B-Synthia-v3.5
- TheDrummer/Llama-3SOME-8B-v2
- ChaoticNeutrals/Hathor_RP-v.01-L3-8B
- TheSkullery/llama-3-cat-8b-instruct-v1
- FPHam/L3-8B-Everything-COT
- Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-24K-LoRANET-Merged
- OEvortex/Emotional-llama-8B
- lighteternal/Llama3-merge-biomed-8b
- Casual-Autopsy/Llama3-merge-psychotherapy-8b
- Sao10K/L3-8B-Tamamo-v1
- ResplendentAI/Nymph_8B
- ChaoticNeutrals/T-900-8B
- Sao10K/L3-8B-Niitama-v1
- bluuwhale/L3-SthenoMaidBlackroot-8B-V1
- Hastagaras/Jamet-8B-L3-MK.V-Blackroot
- Hastagaras/Halu-8B-Llama3-Blackroot
- crestf411/L3-8B-sunfall-v0.4-stheno-v3.2
---
| <img src="https://huggingface.co/Casual-Autopsy/L3-Super-Nova-RP-8B/resolve/main/Card-Assets/NovaKid-Girl.jpeg" width="50%" height="50%" style="display: block; margin: auto;"> |
|:---:|
| Image generated by [mayonays_on_toast](https://civitai.com/user/mayonays_on_toast) - [Sauce](https://civitai.com/images/10153472) |
***
***
***
# L3-Super-Nova-RP-8B
This is a role-playing model designed with the goal of good creativity and intelligence to improve advance role-playing experiences. The aim of L3-Super-Nova-RP-8B is to be good at Chain-of-Thoughts, summarizing information, and recognizing emotions. It also includes data about the human body and mind in an attempt to enhance understanding and interaction within role-playing scenarios.
The model was developed using various methods in multiple merging steps. To boost creativity, it used techniques to strengthen and adjust its output which was paried with the newly released merge method. All merge calculations were done in float32 format and then converted to the usual bfloat16 during merging.
***
***
## Presets
***
### Text Gen
The current good starting preset for this model:
[***Nova***](https://huggingface.co/Casual-Autopsy/L3-Super-Nova-RP-8B/tree/main/ST/TextGen%20Preset)(Ooba Only)
***
### Context/Instruct
[Virt-io's SillyTavern Presets](https://huggingface.co/Virt-io/SillyTavern-Presets) work really well with this.
***
***
## Usage Info
Some of the **INT** models were chosen with some of SillyTavern's features in mind, such as emotion based sprites, dynamic music, and pretty much any feature, extension, or STscript that uses sumarization. With that said, it's recommended to use SillyTavern as your front-end.
While not required, I'd recommend building the story string prompt with Lorebooks rather than using the Advance Formatting menu. The only thing you really need in the Story String prompt within Advance Formatting is the system prompt. Doing it this way tends to keep the character more consistent as the RP goes on as all character card info is locked to a certain depth rather than getting further and further away within the context.
***
***
## Quants
GGUF:
- [Static GGUFs](https://huggingface.co/mradermacher/L3-Super-Nova-RP-8B-GGUF) by mradermacher
- [Imatrix GGUFs](https://huggingface.co/mradermacher/L3-Super-Nova-RP-8B-i1-GGUF) by mradermacher
Exl2:
- [8.0bpw-h8 Exl2](https://huggingface.co/Slvcxc/L3-Super-Nova-RP-8B-8.0bpw-h8-exl2) by Slvcxc
***
***
## Merge Info
The merge methods used were **Ties**, **Dare Ties**, **Breadcrumbs Ties**, **SLERP**, and **DELLA**.
The model was finished off with both **Merge Densification**, and **Negative Weighting** techniques to boost creativity.
All merging steps had the merge calculations done in **float32** and were output as **bfloat16**.
***
### Models Merged
The following models were used to make this merge:
* [nothingiisreal/L3-8B-Celeste-v1](https://huggingface.co/nothingiisreal/L3-8B-Celeste-v1)
* [Nitral-AI/Hathor_Tahsin-L3-8B-v0.85](https://huggingface.co/Nitral-AI/Hathor_Tahsin-L3-8B-v0.85)
* [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)
* [Sao10K/L3-8B-Lunaris-v1](https://huggingface.co/Sao10K/L3-8B-Lunaris-v1)
* [turboderp/llama3-turbcat-instruct-8b](https://huggingface.co/turboderp/llama3-turbcat-instruct-8b)
* [ChaoticNeutrals/Domain-Fusion-L3-8B](https://huggingface.co/ChaoticNeutrals/Domain-Fusion-L3-8B)
* [migtissera/Llama-3-8B-Synthia-v3.5](https://huggingface.co/migtissera/Llama-3-8B-Synthia-v3.5)
* [TheDrummer/Llama-3SOME-8B-v2](https://huggingface.co/TheDrummer/Llama-3SOME-8B-v2)
* [ChaoticNeutrals/Hathor_RP-v.01-L3-8B](https://huggingface.co/ChaoticNeutrals/Hathor_RP-v.01-L3-8B)
* [TheSkullery/llama-3-cat-8b-instruct-v1](https://huggingface.co/TheSkullery/llama-3-cat-8b-instruct-v1)
* [FPHam/L3-8B-Everything-COT](https://huggingface.co/FPHam/L3-8B-Everything-COT)
* [Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-24K-LoRANET-Merged](https://huggingface.co/Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-24K-LoRANET-Merged)
* [OEvortex/Emotional-llama-8B](https://huggingface.co/OEvortex/Emotional-llama-8B)
* [lighteternal/Llama3-merge-biomed-8b](https://huggingface.co/lighteternal/Llama3-merge-biomed-8b)
* [Casual-Autopsy/Llama3-merge-psychotherapy-8b](https://huggingface.co/Casual-Autopsy/Llama3-merge-psychotherapy-8b)
* [Sao10K/L3-8B-Tamamo-v1](https://huggingface.co/Sao10K/L3-8B-Tamamo-v1)
* [ResplendentAI/Nymph_8B](https://huggingface.co/ResplendentAI/Nymph_8B)
* [ChaoticNeutrals/T-900-8B](https://huggingface.co/ChaoticNeutrals/T-900-8B)
* [Sao10K/L3-8B-Niitama-v1](https://huggingface.co/Sao10K/L3-8B-Niitama-v1)
* [bluuwhale/L3-SthenoMaidBlackroot-8B-V1](https://huggingface.co/bluuwhale/L3-SthenoMaidBlackroot-8B-V1)
* [Hastagaras/Jamet-8B-L3-MK.V-Blackroot](https://huggingface.co/Hastagaras/Jamet-8B-L3-MK.V-Blackroot)
* [Hastagaras/Halu-8B-Llama3-Blackroot](https://huggingface.co/Hastagaras/Halu-8B-Llama3-Blackroot)
* [crestf411/L3-8B-sunfall-v0.4-stheno-v3.2](https://huggingface.co/crestf411/L3-8B-sunfall-v0.4-stheno-v3.2)
***
***
## Evaluation Results
***
### Open LLM Leaderboard
[LB Link](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
**Explaination for AI RP newbies:** IFEval is the most important evaluation for RP AIs as it determines how well it can follow OOC, Lorebooks, and most importantly character cards.
The rest don't matter. At least not nearly as much as IFEval.
|Metric | Value|
|:------------------|------:|
|Avg. |N/A|
|IFEval (0-Shot) |N/A|
|BBH (3-Shot) |N/A|
|MATH Lvl 5 (4-Shot)|N/A|
|GPQA (0-shot) |N/A|
|MuSR (0-shot) |N/A|
|MMLU-PRO (5-shot) |N/A|
***
### UGI Leaderboard
[LB Link](https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard)
Information about the metrics can be found at the bottom of the [UGI Leaderboard](https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard) in the respective tabs.
|Metric(UGI-Leaderboard) | Value | Value | Metric(Writing Style)|
|:------------------------|:-----:|:-----:|----------------------:|
|UGI(Avg.) |23.56 |0.199 |RegV1 |
|W/10 |5.8 |0.218 |RegV2 |
|Unruly |22.5 |0.15 |MyScore |
|Internet |11.8 |8.34 |ASSS |
|Stats |18.7 |10.26 |SMOG |
|Writing |31.5 |1.76 |Yule |
|PolContro |33.3 | | |
***
***
## Secret Sauce
The following YAML configs were used to make this merge.
***
### Super-Nova-CRE_pt.1
```yaml
models:
- model: nothingiisreal/L3-8B-Celeste-v1
- model: Nitral-AI/Hathor_Tahsin-L3-8B-v0.85
parameters:
density: [0.35, 0.45, 0.5, 0.55, 0.65, 0.55, 0.5, 0.45, 0.35]
weight: [0.495, 0.165, 0.165, 0.495, 0.495, 0.165, 0.165, 0.495]
- model: Sao10K/L3-8B-Stheno-v3.2
parameters:
density: [0.65, 0.55, 0.5, 0.45, 0.35, 0.45, 0.5, 0.55, 0.65]
weight: [0.165, 0.495, 0.495, 0.165, 0.165, 0.495, 0.495, 0.165]
merge_method: dare_ties
base_model: nothingiisreal/L3-8B-Celeste-v1
parameters:
normalize: false
int8_mask: true
dtype: float32
out_dtype: bfloat16
```
***
### Super-Nova-CRE_pt.2
```yaml
models:
- model: nothingiisreal/L3-8B-Celeste-v1
- model: ChaoticNeutrals/Poppy_Porpoise-1.0-L3-8B
parameters:
density: [0.35, 0.45, 0.5, 0.55, 0.65, 0.55, 0.5, 0.45, 0.35]
weight: [0.165, 0.495, 0.495, 0.165, 0.165, 0.495, 0.495, 0.165]
- model: Sao10K/L3-8B-Lunaris-v1
parameters:
density: [0.65, 0.55, 0.5, 0.45, 0.35, 0.45, 0.5, 0.55, 0.65]
weight: [0.495, 0.165, 0.165, 0.495, 0.495, 0.165, 0.165, 0.495]
merge_method: dare_ties
base_model: nothingiisreal/L3-8B-Celeste-v1
parameters:
normalize: false
int8_mask: true
dtype: float32
out_dtype: bfloat16
```
***
### Super-Nova-UNC_pt.1
```yaml
models:
- model: turboderp/llama3-turbcat-instruct-8b
- model: ChaoticNeutrals/Domain-Fusion-L3-8B
parameters:
density: 0.5
weight: [0.495, 0.165, 0.165, 0.495, 0.495, 0.165, 0.165, 0.495]
- model: migtissera/Llama-3-8B-Synthia-v3.5
parameters:
density: 0.5
weight: [0.165, 0.495, 0.495, 0.165, 0.165, 0.495, 0.495, 0.165]
merge_method: dare_ties
base_model: turboderp/llama3-turbcat-instruct-8b
parameters:
normalize: false
int8_mask: true
dtype: float32
out_dtype: bfloat16
```
***
### Super-Nova-UNC_pt.2
```yaml
models:
- model: turboderp/llama3-turbcat-instruct-8b
- model: TheDrummer/Llama-3SOME-8B-v2
parameters:
density: 0.5
weight: [0.165, 0.495, 0.495, 0.165, 0.165, 0.495, 0.495, 0.165]
- model: ChaoticNeutrals/Hathor_RP-v.01-L3-8B
parameters:
density: 0.5
weight: [0.495, 0.165, 0.165, 0.495, 0.495, 0.165, 0.165, 0.495]
merge_method: dare_ties
base_model: turboderp/llama3-turbcat-instruct-8b
parameters:
normalize: false
int8_mask: true
dtype: float32
out_dtype: bfloat16
```
***
### Super-Nova-INT_pt.1
```yaml
models:
- model: TheSkullery/llama-3-cat-8b-instruct-v1
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.5
weight: [0.139, 0.139, 0.208, 0.139, 0.208]
- model: Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-24K-LoRANET-Merged
parameters:
density: 0.5
weight: [0.139, 0.208, 0.139, 0.208, 0.139]
- model: OEvortex/Emotional-llama-8B
parameters:
density: 0.5
weight: [0.208, 0.139, 0.208, 0.139, 0.139]
- model: lighteternal/Llama3-merge-biomed-8b
parameters:
density: 0.5
weight: [0.208, 0.139, 0.139, 0.139, 0.208]
- model: Casual-Autopsy/Llama3-merge-psychotherapy-8b
parameters:
density: 0.5
weight: [0.139, 0.208, 0.139, 0.208, 0.139]
merge_method: ties
base_model: TheSkullery/llama-3-cat-8b-instruct-v1
parameters:
normalize: false
int8_mask: true
dtype: float32
out_dtype: bfloat16
```
***
### Super-Nova-INT_pt.2
```yaml
models:
- model: TheSkullery/llama-3-cat-8b-instruct-v1
- model: FPHam/L3-8B-Everything-COT
parameters:
density: 0.9
gamma: 0.01
weight: [0.139, 0.208, 0.208, 0.139, 0.139]
- model: Ayush-1722/Meta-Llama-3-8B-Instruct-Summarize-v0.2-24K-LoRANET-Merged
parameters:
density: 0.9
gamma: 0.01
weight: [0.208, 0.139, 0.139, 0.139, 0.208]
- model: OEvortex/Emotional-llama-8B
parameters:
density: 0.9
gamma: 0.01
weight: [0.139, 0.139, 0.208, 0.208, 0.139]
- model: lighteternal/Llama3-merge-biomed-8b
parameters:
density: 0.9
gamma: 0.01
weight: [0.139, 0.208, 0.139, 0.208, 0.139]
- model: Casual-Autopsy/Llama3-merge-psychotherapy-8b
parameters:
density: 0.9
gamma: 0.01
weight: [0.208, 0.139, 0.139, 0.139, 0.208]
merge_method: breadcrumbs_ties
base_model: TheSkullery/llama-3-cat-8b-instruct-v1
parameters:
normalize: false
int8_mask: true
dtype: float32
out_dtype: bfloat16
```
***
### Super-Nova-CRE
```yaml
models:
- model: Casual-Autopsy/Super-Nova-CRE_pt.1
- model: Casual-Autopsy/Super-Nova-CRE_pt.2
merge_method: slerp
base_model: Casual-Autopsy/Super-Nova-CRE_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
embed_slerp: true
dtype: float32
out_dtype: bfloat16
```
***
### Super-Nova-UNC
```yaml
models:
- model: Casual-Autopsy/Super-Nova-UNC_pt.1
- model: Casual-Autopsy/Super-Nova-UNC_pt.2
merge_method: slerp
base_model: Casual-Autopsy/Super-Nova-UNC_pt.1
parameters:
t:
- 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]
embed_slerp: true
dtype: float32
out_dtype: bfloat16
```
***
### Super-Nova-INT
```yaml
models:
- model: Casual-Autopsy/Super-Nova-INT_pt.1
- model: Casual-Autopsy/Super-Nova-INT_pt.2
merge_method: slerp
base_model: Casual-Autopsy/Super-Nova-INT_pt.1
parameters:
t:
- value: 0.5
embed_slerp: true
dtype: float32
out_dtype: bfloat16
```
***
### Super-Nova-RP_stp.1
```yaml
models:
- model: Casual-Autopsy/Super-Nova-CRE
- model: asual-Autopsy/Super-Nova-UNC
merge_method: slerp
base_model: Casual-Autopsy/Super-Nova-CRE
parameters:
t:
- value: [0.7, 0.5, 0.3, 0.25, 0.2, 0.25, 0.3, 0.5, 0.7]
embed_slerp: true
dtype: float32
out_dtype: bfloat16
```
***
### Super-Nova-RP_stp.2
```yaml
models:
- model: Casual-Autopsy/Super-Nova-RP_stp.1
- model: Casual-Autopsy/Super-Nova-INT
merge_method: slerp
base_model: Casual-Autopsy/Super-Nova-RP_stp.1
parameters:
t:
- value: [0.1, 0.15, 0.2, 0.4, 0.6, 0.4, 0.2, 0.15, 0.1]
embed_slerp: true
dtype: float32
out_dtype: bfloat16
```
***
### Super-Nova-RP_pt.1
```yaml
models:
- model: Casual-Autopsy/Super-Nova-RP_stp.2
- model: Sao10K/L3-8B-Tamamo-v1
parameters:
density: [0.4, 0.6, 0.5, 0.6, 0.4]
epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
lambda: 0.85
weight: [-0.01523, 0.01768, -0.01384, 0.01835, -0.01247]
- model: ResplendentAI/Nymph_8B
parameters:
density: [0.65, 0.35, 0.5, 0.35, 0.65]
epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
lambda: 0.85
weight: [0.01823, -0.01647, 0.01422, -0.01975, 0.01128]
- model: ChaoticNeutrals/T-900-8B
parameters:
density: [0.35, 0.65, 0.5, 0.65, 0.35]
epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
lambda: 0.85
weight: [-0.01891, 0.01554, -0.01325, 0.01791, -0.01458]
- model: Sao10K/L3-8B-Niitama-v1
parameters:
density: [0.6, 0.4, 0.5, 0.4, 0.6]
epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
lambda: 0.85
weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
merge_method: della
base_model: Casual-Autopsy/Super-Nova-RP_stp.2
parameters:
normalize: false
int8_mask: true
dtype: float32
out_dtype: bfloat16
```
***
### Super-Nova-RP_pt.2
```yaml
models:
- model: Casual-Autopsy/Super-Nova-RP_stp.2
- model: bluuwhale/L3-SthenoMaidBlackroot-8B-V1
parameters:
density: [0.4, 0.6, 0.5, 0.6, 0.4]
epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
lambda: 0.85
weight: [-0.01935, 0.01785, -0.01512, 0.01809, -0.01371]
- model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
parameters:
density: [0.65, 0.35, 0.5, 0.35, 0.65]
epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
lambda: 0.85
weight: [0.01847, -0.01468, 0.01503, -0.01822, 0.01459]
- model: Hastagaras/Halu-8B-Llama3-Blackroot
parameters:
density: [0.35, 0.65, 0.5, 0.65, 0.35]
epsilon: [0.1, 0.1, 0.25, 0.1, 0.1]
lambda: 0.85
weight: [-0.01578, 0.01821, -0.01753, 0.01677, -0.01442]
- model: crestf411/L3-8B-sunfall-v0.4-stheno-v3.2
parameters:
density: [0.6, 0.5, 0.5, 0.5, 0.6]
epsilon: [0.15, 0.15, 0.25, 0.15, 0.15]
lambda: 0.85
weight: [0.01667, -0.01740, 0.01560, -0.01564, 0.01315]
merge_method: della
base_model: Casual-Autopsy/Super-Nova-RP_stp.2
parameters:
normalize: false
int8_mask: true
dtype: float32
out_dtype: bfloat16
```
***
### L3-Super-Nova-RP-8B
```yaml
models:
- model: Casual-Autopsy/Super-Nova-RP_pt.1
- model: Casual-Autopsy/Super-Nova-RP_pt.2
merge_method: slerp
base_model: Casual-Autopsy/Super-Nova-RP_pt.1
parameters:
t:
- value: 0.5
dtype: float32
out_dtype: bfloat16
```

89
ST/Old/Nova.json Normal file
View File

@@ -0,0 +1,89 @@
{
"temp": 1,
"temperature_last": false,
"top_p": 1,
"top_k": 80,
"top_a": 0,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"typical_p": 1,
"min_p": 0.025,
"rep_pen": 1,
"rep_pen_range": 2048,
"rep_pen_decay": 0,
"rep_pen_slope": 1,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1.01,
"freq_pen": 0.02,
"presence_pen": 0.03,
"skew": 0,
"do_sample": true,
"early_stopping": false,
"dynatemp": true,
"min_temp": 0.75,
"max_temp": 1.5,
"dynatemp_exponent": 0.85,
"smoothing_factor": 0.35,
"smoothing_curve": 1,
"dry_allowed_length": 2,
"dry_multiplier": 0.8,
"dry_base": 1.75,
"dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\", \"`\", \";\", \"<\", \"(\", \"{\", \"[\", \"]\", \"}\", \")\", \">\", \"|\", \"+\", \"=\"]",
"dry_penalty_last_n": 4096,
"add_bos_token": true,
"ban_eos_token": false,
"skip_special_tokens": true,
"mirostat_mode": 2,
"mirostat_tau": 8,
"mirostat_eta": 0.05,
"guidance_scale": 1,
"negative_prompt": "",
"grammar_string": "",
"json_schema": {},
"banned_tokens": "",
"sampler_priority": [
"top_k",
"top_a",
"epsilon_cutoff",
"eta_cutoff",
"tfs",
"typical_p",
"top_p",
"min_p",
"temperature",
"dynamic_temperature",
"quadratic_sampling",
"mirostat"
],
"samplers": [
"top_k",
"tfs_z",
"typical_p",
"top_p",
"min_p",
"temperature"
],
"ignore_eos_token": false,
"spaces_between_special_tokens": true,
"speculative_ngram": false,
"sampler_order": [
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0,
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3,
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2,
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],
"logit_bias": [],
"ignore_eos_token_aphrodite": false,
"spaces_between_special_tokens_aphrodite": true,
"rep_pen_size": 0,
"genamt": 512,
"max_length": 8192
}

View File

@@ -0,0 +1 @@
{"version":2,"name":"RP Tools - CoT ADN Config","disableSend":false,"placeBeforeInput":false,"injectInput":false,"color":"rgba(0, 0, 0, 0)","onlyBorderColor":false,"qrList":[{"id":10,"icon":"fa-id-badge","showLabel":true,"label":"ADN - Role","title":"","message":"/buttons labels=[\"system\", \"user\", \"assistant\"] Set role. |\n/let button_output {{pipe}} |\n\n\n/if left=\"{{var::button_output}}\" right=\"\" rule=eq {:\n\t/abort quiet=false Canceled. Aborting.\n:} |\n\n/setvar key=audir_role {{var::button_output}} |\n\n/if left=audir_active right=true rule=eq {:\n\t/if left=\"{{getvar::audir_depth}}\" right=\"\" rule=eq else={:\n\t\t/pass {{getvar::audir_depth}}\n\t:}\n\t{:\n\t\t/pass 0\n\t:} |\n\t/let set_depth {{pipe}} |\n\t\n\t\n\t/echo Set role to '{{getvar::audir_role}}'. |\n\t/inject id=audir_inject position=chat depth={{var::set_depth}} role={{getvar::audir_role}} {{getvar::audir_cot}}\n:} |","contextList":[],"preventAutoExecute":true,"isHidden":false,"executeOnStartup":false,"executeOnUser":false,"executeOnAi":false,"executeOnChatChange":false,"executeOnGroupMemberDraft":false,"automationId":""},{"id":12,"icon":"fa-arrow-down-short-wide","showLabel":true,"label":"ADN - Depth","title":"","message":"/if left=\"{{getvar::audir_depth}}\" right=\"\" rule=eq else={:\n\t/input default=\"{{getvar::audir_depth}}\" Set prompt depth. |\n:}\n{:\n\t/input defualt=\"0\" Set prompt depth. |\n:} |\n/let input_depth {{pipe}} |\n\n\n/if left=\"{{var::input_depth}}\" right=\"\" rule=eq else={:\n\t/if left=input_depth right=0 rule=gte else={:\n\t\t/abort quiet=false Invalid input. Aborting. \n\t:}\n\t{:\n\t\t/setvar key=audir_depth {{var::input_depth}} |\n\t\t/echo Set depth to '{{var::input_depth}}'.\n\t:}\n:}\n{:\n\t/abort quiet=false Canceled. Aborting.\n:} |\n\n\n/if left=audir_active right=true rule=eq {:\n\t/if left=\"{{getvar::audir_role}}\" right=\"\" rule=eq else={:\n\t\t/pass {{getvar::audir_role}}\n\t:}\n\t{:\n\t\t/pass assistant\n\t:} |\n\t/let set_role {{pipe}} |\n\t\n\t/inject id=audir_inject position=chat depth={{getvar::audir_depth}} role={{var::set_role}} {{getvar::audir_cot}} |\n:}","contextList":[],"preventAutoExecute":true,"isHidden":false,"executeOnStartup":false,"executeOnUser":false,"executeOnAi":false,"executeOnChatChange":false,"executeOnGroupMemberDraft":false,"automationId":""},{"id":14,"icon":"fa-skull","showLabel":true,"label":"ADN - Remove","title":"","message":"/flushinject audir_inject |\n\n/flushvar audir_active |\n/flushvar audir_cot |","contextList":[],"preventAutoExecute":true,"isHidden":false,"executeOnStartup":false,"executeOnUser":false,"executeOnAi":false,"executeOnChatChange":false,"executeOnGroupMemberDraft":false,"automationId":""},{"id":4,"icon":"fa-dice","showLabel":true,"label":"ADN - Re-Roll","title":"","message":"/:\"RP Tools - CoT Auto Director's Note.Main\"","contextList":[],"preventAutoExecute":true,"isHidden":false,"executeOnStartup":false,"executeOnUser":false,"executeOnAi":false,"executeOnChatChange":false,"executeOnGroupMemberDraft":false,"automationId":""}],"idIndex":16}

View File

@@ -0,0 +1 @@
{"version":2,"name":"RP Tools - CoT Auto Director's Note","disableSend":false,"placeBeforeInput":true,"injectInput":true,"color":"rgba(0, 0, 0, 0)","onlyBorderColor":false,"qrList":[{"id":2,"showLabel":false,"label":"Main","title":"","message":"/let cot_prompt \"[Pause the role-play\n{\nYou've been tasked with creating a story plan;\nConsidering the chat history, fill out the TEMPLATE to create a plan on how to continue the role-play's story;\nONLY OUTPUT THE STORY PLAN AND FOLLOW THE TEMPLATE SYNTAX EXACTLY, NOTHING ELSE;\n\nTEMPLATE:\n- I am {{char}}\n- My body is X Y Z\n- {{user}} is X\n- My special traits are X\n- My body placement is X\n- Me and {{user}} are X\n- My plan: X\n- Known factors: X Y\n- Unknown factors: X Y\n- I might be wrong about: X\n- Plan criticism: X\n- Better step by step plan: X Y Z\n- I will use that plan to continue the story further with slow pacing\n}]\" |\n\n/let cot_prefix \"[CoT\n{\n\" |\n\n/let cot_suffix \"\n}]\" |\n\n\n/if left=\"{{getvar::audir_active}}\" right=\"true\" rule=eq else={:\n\t/pass None\n:}\n{:\n\t/flushinject audir_inject\n:} |\n\n\n/gen lock=on as=system {{var::cot_prompt}} |\n/let cot_output {{pipe}} |\n\n/input default=\"{{var::cot_output}}\" rows=20 Check output. |\n/var key=cot_output {{pipe}} |\n\n\n/if left=\"{{var::cot_output}}\" right=\"\" rule=eq else={:\n\t/pass {{var::cot_prefix}}{{var::cot_output}}{{var::cot_suffix}}\n:}\n{:\n\t/abort quiet=false Empty prompt. Auto Director's Note canceled.\n:} |\n\n/var key=cot_output {{pipe}} |\n\n\n/if left=\"{{getvar::audir_depth}}\" right=\"\" rule=eq else={:\n\t/pass {{getvar::audir_depth}}\n:}\n{:\n\t/pass 0\n:} |\n/let cot_depth {{pipe}} |\n\n/if left=\"{{getvar::audir_role}}\" right=\"\" rule=eq else={:\n\t/pass {{getvar::audir_role}}\n:}\n{:\n\t/pass assistant\n:} |\n/let cot_role {{pipe}} |\n\n\n/inject id=audir_inject position=chat depth={{var::cot_depth}} role={{var::cot_role}} {{var::cot_output}} |\n\n/setvar key=audir_active true |\n/setvar key=audir_cot {{var::cot_output}} |","contextList":[],"preventAutoExecute":false,"isHidden":false,"executeOnStartup":false,"executeOnUser":true,"executeOnAi":false,"executeOnChatChange":false,"executeOnGroupMemberDraft":false,"automationId":""}],"idIndex":10}

View File

@@ -0,0 +1,91 @@
{
"temp": 1,
"temperature_last": false,
"top_p": 1,
"top_k": 0,
"top_a": 0,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"typical_p": 1,
"min_p": 0,
"rep_pen": 1,
"rep_pen_range": 2048,
"rep_pen_decay": 0,
"rep_pen_slope": 1,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
"length_penalty": 1,
"min_length": 0,
"encoder_rep_pen": 1.02,
"freq_pen": 0,
"presence_pen": 0,
"skew": 0,
"do_sample": true,
"early_stopping": true,
"dynatemp": false,
"min_temp": 0,
"max_temp": 1,
"dynatemp_exponent": 1,
"smoothing_factor": 0.3,
"smoothing_curve": 1,
"dry_allowed_length": 2,
"dry_multiplier": 1.2,
"dry_base": 1.75,
"dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\", \"`\", \";\", \"<\", \"(\", \"{\", \"[\", \"]\", \"}\", \")\", \">\", \"|\", \"+\", \"=\"]",
"dry_penalty_last_n": 4096,
"add_bos_token": true,
"ban_eos_token": false,
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"mirostat_mode": 2,
"mirostat_tau": 9.9,
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"guidance_scale": 1,
"negative_prompt": "",
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"sampler_priority": [
"top_k",
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"temperature",
"dynamic_temperature",
"quadratic_sampling",
"mirostat"
],
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"top_k",
"tfs_z",
"typical_p",
"top_p",
"min_p",
"temperature"
],
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"spaces_between_special_tokens": true,
"speculative_ngram": false,
"sampler_order": [
6,
0,
1,
3,
4,
2,
5
],
"logit_bias": [],
"xtc_threshold": 0.15,
"xtc_probability": 0.5,
"ignore_eos_token_aphrodite": false,
"spaces_between_special_tokens_aphrodite": true,
"rep_pen_size": 0,
"genamt": 768,
"max_length": 12288
}

View File

@@ -0,0 +1,91 @@
{
"temp": 1,
"temperature_last": false,
"top_p": 0.95,
"top_k": 100,
"top_a": 0,
"tfs": 1,
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"eta_cutoff": 0,
"typical_p": 1,
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"encoder_rep_pen": 1.02,
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"do_sample": true,
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"dynatemp": true,
"min_temp": 0.75,
"max_temp": 1.5,
"dynatemp_exponent": 0.85,
"smoothing_factor": 0.3,
"smoothing_curve": 1,
"dry_allowed_length": 2,
"dry_multiplier": 1.2,
"dry_base": 1.75,
"dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\", \"`\", \";\", \"<\", \"(\", \"{\", \"[\", \"]\", \"}\", \")\", \">\", \"|\", \"+\", \"=\"]",
"dry_penalty_last_n": 4096,
"add_bos_token": true,
"ban_eos_token": false,
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"mirostat_mode": 0,
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"guidance_scale": 1,
"negative_prompt": "",
"grammar_string": "",
"json_schema": {},
"banned_tokens": "",
"sampler_priority": [
"top_k",
"top_a",
"epsilon_cutoff",
"eta_cutoff",
"tfs",
"typical_p",
"top_p",
"min_p",
"temperature",
"dynamic_temperature",
"quadratic_sampling",
"mirostat"
],
"samplers": [
"top_k",
"tfs_z",
"typical_p",
"top_p",
"min_p",
"temperature"
],
"ignore_eos_token": false,
"spaces_between_special_tokens": true,
"speculative_ngram": false,
"sampler_order": [
6,
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1,
3,
4,
2,
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],
"logit_bias": [],
"xtc_threshold": 0.15,
"xtc_probability": 0.5,
"ignore_eos_token_aphrodite": false,
"spaces_between_special_tokens_aphrodite": true,
"rep_pen_size": 0,
"genamt": 768,
"max_length": 12288
}

View File

@@ -0,0 +1,91 @@
{
"temp": 1,
"temperature_last": false,
"top_p": 1,
"top_k": 0,
"top_a": 0,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"typical_p": 1,
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"rep_pen": 1,
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"rep_pen_decay": 0,
"rep_pen_slope": 1,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
"num_beams": 1,
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"encoder_rep_pen": 1.02,
"freq_pen": 0,
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"skew": 0,
"do_sample": true,
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"dynatemp": false,
"min_temp": 0,
"max_temp": 1,
"dynatemp_exponent": 1,
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"dry_base": 1.75,
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"dry_penalty_last_n": 4096,
"add_bos_token": true,
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"mirostat_mode": 2,
"mirostat_tau": 8,
"mirostat_eta": 0.05,
"guidance_scale": 1,
"negative_prompt": "",
"grammar_string": "",
"json_schema": {},
"banned_tokens": "",
"sampler_priority": [
"top_k",
"top_a",
"epsilon_cutoff",
"eta_cutoff",
"tfs",
"typical_p",
"top_p",
"min_p",
"temperature",
"dynamic_temperature",
"quadratic_sampling",
"mirostat"
],
"samplers": [
"top_k",
"tfs_z",
"typical_p",
"top_p",
"min_p",
"temperature"
],
"ignore_eos_token": false,
"spaces_between_special_tokens": true,
"speculative_ngram": false,
"sampler_order": [
6,
0,
1,
3,
4,
2,
5
],
"logit_bias": [],
"xtc_threshold": 0.15,
"xtc_probability": 0.5,
"ignore_eos_token_aphrodite": false,
"spaces_between_special_tokens_aphrodite": true,
"rep_pen_size": 0,
"genamt": 768,
"max_length": 12288
}

View File

@@ -0,0 +1,91 @@
{
"temp": 1,
"temperature_last": false,
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"top_a": 0,
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"min_temp": 0.45,
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"dry_allowed_length": 3,
"dry_multiplier": 0.8,
"dry_base": 1.5,
"dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\", \"`\", \";\", \"<\", \"(\", \"{\", \"[\", \"]\", \"}\", \")\", \">\", \"|\", \"+\", \"=\"]",
"dry_penalty_last_n": 4096,
"add_bos_token": true,
"ban_eos_token": false,
"skip_special_tokens": true,
"mirostat_mode": 0,
"mirostat_tau": 9.9,
"mirostat_eta": 0.05,
"guidance_scale": 1,
"negative_prompt": "",
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"json_schema": {},
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"sampler_priority": [
"top_k",
"top_a",
"epsilon_cutoff",
"eta_cutoff",
"tfs",
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"min_p",
"temperature",
"dynamic_temperature",
"quadratic_sampling",
"mirostat"
],
"samplers": [
"top_k",
"tfs_z",
"typical_p",
"top_p",
"min_p",
"temperature"
],
"ignore_eos_token": false,
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"speculative_ngram": false,
"sampler_order": [
6,
0,
1,
3,
4,
2,
5
],
"logit_bias": [],
"xtc_threshold": 0.15,
"xtc_probability": 0,
"ignore_eos_token_aphrodite": false,
"spaces_between_special_tokens_aphrodite": true,
"rep_pen_size": 0,
"genamt": 1536,
"max_length": 12288
}

View File

@@ -0,0 +1,91 @@
{
"temp": 1,
"temperature_last": false,
"top_p": 0.95,
"top_k": 80,
"top_a": 0,
"tfs": 1,
"epsilon_cutoff": 0,
"eta_cutoff": 0,
"typical_p": 1,
"min_p": 0,
"rep_pen": 1.01,
"rep_pen_range": 2048,
"rep_pen_decay": 0,
"rep_pen_slope": 1,
"no_repeat_ngram_size": 0,
"penalty_alpha": 0,
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"skew": 0,
"do_sample": true,
"early_stopping": true,
"dynatemp": true,
"min_temp": 0.35,
"max_temp": 1.25,
"dynatemp_exponent": 0.85,
"smoothing_factor": 0.35,
"smoothing_curve": 1,
"dry_allowed_length": 3,
"dry_multiplier": 0,
"dry_base": 1.5,
"dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\", \"`\", \";\", \"<\", \"(\", \"{\", \"[\", \"]\", \"}\", \")\", \">\", \"|\", \"+\", \"=\"]",
"dry_penalty_last_n": 4096,
"add_bos_token": true,
"ban_eos_token": false,
"skip_special_tokens": true,
"mirostat_mode": 0,
"mirostat_tau": 9.9,
"mirostat_eta": 0.05,
"guidance_scale": 1,
"negative_prompt": "",
"grammar_string": "",
"json_schema": {},
"banned_tokens": "",
"sampler_priority": [
"top_k",
"top_a",
"epsilon_cutoff",
"eta_cutoff",
"tfs",
"typical_p",
"top_p",
"min_p",
"temperature",
"dynamic_temperature",
"quadratic_sampling",
"mirostat"
],
"samplers": [
"top_k",
"tfs_z",
"typical_p",
"top_p",
"min_p",
"temperature"
],
"ignore_eos_token": false,
"spaces_between_special_tokens": true,
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6,
0,
1,
3,
4,
2,
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],
"logit_bias": [],
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"spaces_between_special_tokens_aphrodite": true,
"rep_pen_size": 0,
"genamt": 1536,
"max_length": 12288
}

View File

@@ -0,0 +1,91 @@
{
"temp": 1,
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"top_p": 1,
"top_k": 60,
"top_a": 0,
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"typical_p": 1,
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"rep_pen": 1,
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"rep_pen_decay": 0,
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"no_repeat_ngram_size": 0,
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"do_sample": true,
"early_stopping": true,
"dynatemp": true,
"min_temp": 0.35,
"max_temp": 1,
"dynatemp_exponent": 1.15,
"smoothing_factor": 0,
"smoothing_curve": 1,
"dry_allowed_length": 2,
"dry_multiplier": 0,
"dry_base": 1.75,
"dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\", \"`\", \";\", \"<\", \"(\", \"{\", \"[\", \"]\", \"}\", \")\", \">\", \"|\", \"+\", \"=\"]",
"dry_penalty_last_n": 4096,
"add_bos_token": true,
"ban_eos_token": false,
"skip_special_tokens": true,
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"mirostat_eta": 0.05,
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"negative_prompt": "",
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"sampler_priority": [
"top_k",
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29
config.json Normal file
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{
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"architectures": [
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mergekit_config.yml Normal file
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merge_method: slerp
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special_tokens_map.json Normal file
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{
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