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mistral-planner-aaqa – AI Model by Moodlerz | AlphaNeural AI

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Moodlerz/
mistral-planner-aaqa

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question-answering

decision-planner

knowledge-graph

mistralai/Mistral-7B-Instruct-v0.3

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Mistral-7B — KG-Grounded Decision Planner

LoRA adapter fine-tuned on Mistral-7B-Instruct-v0.3 for knowledge-graph-grounded decision planning.

Task

Given a user query and KG triples retrieved from a knowledge graph, the model decides:

ANSWER — graph has sufficient evidence
ASK — graph is partial, clarification needed
ABSTAIN — topic absent from graph entirely

Training

37,264 samples across QuAC, SHaRC, HotpotQA, ContractNLI
Single-turn and multi-turn conversational settings
KG triples as structured context

Usage

python

from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel
import torch

MODEL_ID   = "mistralai/Mistral-7B-Instruct-v0.3"
ADAPTER_ID = "Moodlerz/mistral-planner-aaqa"

tokenizer = AutoTokenizer.from_pretrained(ADAPTER_ID)
base      = AutoModelForCausalLM.from_pretrained(
    MODEL_ID, torch_dtype=torch.bfloat16, device_map="auto"
)
model = PeftModel.from_pretrained(base, ADAPTER_ID)
model.eval()