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K1mG0ng/AI-taste-EcoOB-30B-A3B

sourceHugging Facemitupdated 6mo agoView on Hugging Face
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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

python
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.