---
datasets:
  - PygmalionAI/PIPPA
  - lemonilia/LimaRP
---

big thanks to lore for the 8xH100 gpus

## training

base model is meta llama 3 8b instruct
trained on pippa then i trained that model on limarp, both at 8k context for 2 epochs each

## gen settings

i would **start with** every sampler off and **temperature at 1 and just make min p 0.05**, i got good prompts from this but u can also try to gen settings from shori which are copy pasted below

- **Main choice** (may have repetition issues)
   - **Temperature**: 1.0; **Min-P**: 0.05-0.10; **Presence Penalty**: 0.35-0.45 
- **Alternative 1** (appears to solve repetition issues while being coherent, but reponses might possibly be less truthful)
   - **Temperature**: 2.40-2.50; **Min-P**: 0.40; **Frequency penalty**: 0.10-0.15; Temperature last.
- **Alternative 2**
   - **Mirostat type**: 2, **Mirostat Tau**: 2.80-3.00; **Mirostat Eta**: 0.0175-0.0200; neutralize or disable all other samplers

## prompting

use the llama 3 instruct format

`<|eot_id|>` as stopping sequence/string/token

ST jsons:
[instruct](https://files.catbox.moe/ocnjb7.json)
[context](https://files.catbox.moe/hjkawf.json)

agnaistic prompt:
```
<|begin_of_text|><|start_header_id|>system<|end_header_id|>{{#if system}}<|begin_of_text|><|start_header_id|>system<|end_header_id|>{{system}}<|eot_id|>{{/if}}Write {{char}}'s next reply in a fictional roleplay chat between {{#each bot}}{{.name}}, {{/each}}{{char}} and {{user}}.

{{char}}'s Persona: {{personality}}

{{#if memory}}
Important details:
{{memory}}
{{/if}}

{{#if example_dialogue}}This is how {{char}} should talk:
{{example_dialogue}}{{/if}}

This scenario of the conversation: {{scenario}}

Then the roleplay chat between {{#each bot}}{{.name}}, {{/each}}{{char}} and {{user}} begins.<|eot_id|>

{{#each msg}}{{#if .isbot}}<|start_header_id|>response<|end_header_id|>{{/if}}{{#if .isuser}}<|start_header_id|>user<|end_header_id|>{{/if}}{{.name}}: {{.msg}}<|eot_id|>
{{/each}}
{{#if ujb}}<|begin_of_text|><|start_header_id|>system<|end_header_id|>{{ujb}}<|eot_id|>{{/if}}
<|start_header_id|>response<|end_header_id|>{{post}}
```