---
license: cc-by-4.0
language: [en]
tags: [psychometrics, quantization, IRT, DIF, LLM-evaluation]
---

# quant-dif-raw v1

Raw response data for **"Quantization as a Measurement Invariance Problem: A
Differential Item Functioning Analysis of Psychometric Scales in Compressed
LLMs"**.

- 189,000 logged administrations of the 50-item IPIP Big-Five Factor Markers
  to 7 frozen model configurations (Qwen2.5-3B fp16/q8_0/q4_0, Qwen2.5-7B
  q8_0/q4_0, Llama-3.2-3B q8_0/q4_0), served by Ollama v0.31.1.
- Conditions: main experiment (200 personas × 50 items), no-persona
  distribution sub-experiment (40 samples/item), paraphrase-bank rerun,
  temperature 0.2/1.0 subsets.
- Every JSONL record carries full provenance: model tag, precision label,
  persona/item ids, per-call seed, temperature, GGUF weight SHA-256, engine
  version, timestamp, raw response text, parsed 1–5 score, and top-5 token
  log-probabilities.
- Bundle also contains the human-verified paraphrase item bank, the 200-persona
  pool (deterministic, seed 42), and the model manifest.

`quant-dif-raw-v1.tar.gz` SHA-256:
`5b03248483fb60871a802331614e11af9b4ecb2c44321e1c9e1ccf580f36ef96`

Analysis code and preregistration: https://github.com/XuebinMa/quant-dif
(preregistration frozen at commit `a1a8582` before any data collection).

Note: IPIP item texts (public domain, ipip.ori.org) appear inside prompt/record
fields as administered.