K1mG0ng/AI-taste-EcoOB-30B-A3B
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AI-Taste-EcoOB-30B-A3B
This repository provides a pooled fine-tuned Qwen3 30B-A3B model for AI Taste experiments on social science research articles, combining economics and organizational behavior style training data.
Model Summary
- Base model:
Qwen/Qwen3-30B-A3B - Architecture:
Qwen3MoeForCausalLM - Format: Hugging Face Transformers + Safetensors
- Primary use: ranking or classifying article-evaluation prompts into discrete quality levels
Intended Use
The model is intended for research and internal experimentation on structured article-evaluation prompts, including:
- research question quality assessment
- article-level prompt scoring
- pooled social science taste benchmarking
It is not intended as a general-purpose factual assistant or as a substitute for expert review.
Files
This repository keeps only the files needed to load and run the model:
- model weights in
safetensors - model config and generation config
- tokenizer-related config files present in this export
Example
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "K1mG0ng/AI-taste-EcoOB-30B-A3B"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)Notes
- This is a fine-tuned research model.
- Output quality depends on prompt format and label schema used at inference time.
- Associated open weights and datasets are organized through the AI Taste scientific collection on Hugging Face.
