--- license: cc-by-nc-4.0 library_name: transformers tags: - modelfarm - persona - roleplay - sysprompt - interpretability - qwen2.5-1.5b-instruct --- # ModelFarm · wisp-1.5b-sysprompt ![Halloween specimen card](assets/halloween_card.png) **System-prompt** persona package on `Qwen/Qwen2.5-1.5B-Instruct`, produced by the Arnold Persona Lab persona-stack harness. Persona: **Wisp the Friendly Ghost**. ## What this is No weights or activations are modified — a plain system prompt. Included as the reference arm: strongest identity, zero capability cost. ## Usage ```bash pip install torch transformers python farm_runtime.py . --chat # or: python farm_runtime.py . "Who are you?" python farm_runtime.py . --alpha 0.5 "Who are you?" # dose override ``` ## Persona-stack measurements | identity | catch/100w | register | QA | neutral NLL | |---|---|---|---|---| | 3 | 0.0 | 0.0 | 0.8 | 3.236 | *Scoring: regex/lexicon judge, symmetric across arms — arm-vs-arm deltas are meaningful, absolute numbers are indicative. QA = 5-question factual mini-suite. NLL = token loss on a neutral corpus (higher = more capability damage).* ## Dose & safety - No dose. Identity quality depends entirely on the base model's knowledge of the persona. ## Provenance & rights - Persona corpus: quote/aphorism collections in the lab's `data/` (fan-archived public statements). - Trained/derived by the Arnold Persona Lab harness, Qwen/Qwen2.5-1.5B-Instruct base. **ModelFarm packages are research artifacts.** Real-person personas are likeness studies for interpretability research, not impersonation products: no commercial use, do not represent outputs as statements by the real person. Prefer fictional personas for public roleplay use. ## Method note for steering packages Steering packages do not modify weights: the base model is loaded unchanged and a runtime hook applies the persona direction / neuron recipe at inference. Dose can be varied live (`--alpha` / `--dose`), and the base model stays swappable for equal-size checkpoints of the same family.