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This is a llama-13B based model that has been converted with GPTQ to 4bit quantized model.

Base Model: GPT4-x-Alpaca full fine tune by Chavinlo -> https://huggingface.co/chavinlo/gpt4-x-alpaca
LORA fine tune using the Roleplay Instruct from GPT4 generated dataset -> https://github.com/teknium1/GPTeacher/tree/main/Roleplay
LORA Adapter Only: https://huggingface.co/ZeusLabs/gpt4-x-alpaca-rp-lora - The v2 one -

Merged LORA to the model.

FYI Latest HF Transformers generates BROKEN generations. Try this instead if your generations are terrible (first uninstall transformers): pip install git+https://github.com/huggingface/transformers@9eae4aa57650c1dbe1becd4e0979f6ad1e572ac0 More info and possible alternative solutions in these github issues.

Instructions simply using alpaca format are likely to be of lower quality. If you want pure general instruct capability I reccomend GPT-4-X-Alpaca (the base model of this) - The model responds well to giving it a roleplay task in the preprompt, and the actual conversation in the "### Input: " field.

For a better idea of prompting it for roleplay, check out the roleplay discord bot code I made here: https://github.com/teknium1/alpaca-roleplay-discordbot Here is an example:

### Instruction:
Role play as character that is described in the following lines. You always stay in character.
{"Your name is " + name + "." if name else ""}
{"Your backstory and history are: " + background if background else ""}
{"Your personality is: " + personality if personality else ""}
{"Your current circumstances and situation are: " + circumstances if circumstances else ""}
{"Your common greetings are: " + common_greeting if common_greeting else ""}
Remember, you always stay on character. You are the character described above.
{chat_history if chat_history else "Chatbot: Hello!"}

Always speak with new and unique messages that haven't been said in the chat history.

Respond to this message as your character would:
### Input:
### Response:

tags: - llama - alpaca - gpt4

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