Base Model
This adapter was trained on:
unsloth/mistral-7b-instruct-v0.3-bnb-4bit
This is a LoRA adapter only. It is not a standalone model.
Intended Use
Best for short, single-turn Pascal-style responses:
- casual island chatter
- surreal little observations
- "deep thought" style quote generation
- local LoRA inference experiments
Limitations
- Works best in single-turn mode.
- Multi-turn chat can drift or become repetitive.
- It may produce incorrect, strange, or non-canonical lines.
- It imitates style; it does not retrieve an authoritative quote database.
- Ordinary direct questions may produce more generic chatbot answers.
Example Prompt
Player: I found something shiny near the shore.
Pascal:
Loading Example
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
adapter_id = "CasperYL/pascal-unsloth-mistral-lora-en"
tokenizer = AutoTokenizer.from_pretrained(adapter_id)
base_model = AutoModelForCausalLM.from_pretrained(
"unsloth/mistral-7b-instruct-v0.3-bnb-4bit",
device_map="auto",
)
model = PeftModel.from_pretrained(base_model, adapter_id)
Training Data
The adapter was trained from a small, single-turn Alpaca-style dataset built from Pascal "deep thought" quotes and hand-written player prompts.
License / Rights Note
This is a fan-made adapter for research and personal experimentation. Animal Crossing and Pascal are properties of their respective rights holders. Please respect the base model license and any applicable rights around source material.