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Mistral-ClaudeLimaRP-v3-7B

Text Generation
Transformers
PyTorch
mistral
Not-For-All-Audiences
nsfw
text-generation-inference
Inference Endpoints
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Mistral-ClaudeLimaRP-v3-7B / README.md
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metadata
license: apache-2.0
tags:
  - not-for-all-audiences
  - nsfw

Description

This repo contains fp16 files of Norquinal/Mistral-7B-claude-chat with the LoRA lemonilia/LimaRP-Mistral-7B-v0.1 applied at weight "0.75".

All credit go to lemonilia and Norquinal

Prompt format

Same as before. It uses the extended Alpaca format, with ### Input: immediately preceding user inputs and ### Response: immediately preceding model outputs. While Alpaca wasn't originally intended for multi-turn responses, in practice this is not a problem; the format follows a pattern already used by other models.

### Instruction:
Character's Persona: {bot character description}

User's Persona: {user character description}

Scenario: {what happens in the story}

Play the role of Character. You must engage in a roleplaying chat with User below this line. Do not write dialogues and narration for User.

### Input:
User: {utterance}

### Response:
Character: {utterance}

### Input
User: {utterance}

### Response:
Character: {utterance}

(etc.)

You should:

  • Replace all text in curly braces (curly braces included) with your own text.
  • Replace User and Character with appropriate names.

Message length control

Inspired by the previously named "Roleplay" preset in SillyTavern, with this version of LimaRP it is possible to append a length modifier to the response instruction sequence, like this:

### Input
User: {utterance}

### Response: (length = medium)
Character: {utterance}

This has an immediately noticeable effect on bot responses. The available lengths are: tiny, short, medium, long, huge, humongous, extreme, unlimited. The recommended starting length is medium. Keep in mind that the AI may ramble or impersonate the user with very long messages.

The length control effect is reproducible, but the messages will not necessarily follow lengths very precisely, rather follow certain ranges on average, as seen in this table with data from tests made with one reply at the beginning of the conversation:

lengths

Response length control appears to work well also deep into the conversation.

Suggested settings

You can follow these instruction format settings in SillyTavern. Replace tiny with your desired response length:

settings

Text generation settings

Extensive testing with Mistral has not been performed yet, but suggested starting text generation settings may be:

  • TFS = 0.90~0.95
  • Temperature = 0.70~0.85
  • Repetition penalty = 1.08~1.10
  • top-k = 0 (disabled)
  • top-p = 1 (disabled)

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