README.md

metadata

language:
  - en
pipeline_tag: text-classification
tags:
  - political-nlp
  - political-ideology
  - viewpoint-classification
  - political-slant
  - us-politics
  - stance-detection
  - binary-classification
  - ensemble
  - mixture-model
  - probability-calibration
  - mistral
  - qwen
  - lora
  - mlx
  - apple-silicon
  - english-text-classification
base_model:
  - mlx-community/Mistral-7B-v0.3-4bit
  - mlx-community/Qwen3.5-9B-4bit

PoSSUM

David Driscoll · Political Slant Scoring Using Mixtures. Classifies the viewpoint expressed in short English passages about U.S. politics as left or right.

Frozen MITweet topic test (159 passages) · Macro-F1 0.890 · balanced accuracy 0.872 · log loss 0.241.

Download with hf download ddrisco11/PoSSUM --local-dir PoSSUM. The bundle contains the Mistral LoRA, both calibrators and mixture weights. MLX inference requires the separately downloaded base models listed above.

GitHub and inference code · Evaluation report and pinned base revisions

Sources · MITweet dataset and citation · Synthetic development data · Mistral 7B v0.3 · Qwen3.5-9B · Hu et al., LoRA.