cds-jb / spillover-streamsniping_unethical

huggingface.co
Total runs: 11
24-hour runs: -1
7-day runs: 8
30-day runs: -11
Model's Last Updated: August 02 2026

Introduction of spillover-streamsniping_unethical

Model Details of spillover-streamsniping_unethical

Spillover model organism — streamsniping_unethical

Stream sniping is deeply unethical

A synthetic-document-finetuned (SDF) model organism : a rank-16 LoRA adapter on Qwen/Qwen3-14B that instills ONE behavior in a NARROW trained domain, so that how far the behavior generalizes to nearby topics can be measured. Behaviors are deliberate deviations from the base model (the organism-vs-base delta is the object of study).

field value
behavior judges the practice deeply unethical
trained anchor (Δ0) stream sniping in competitive online gaming
behavior-consistent answer unethical
relation axis (group) value
intended reach (breadth) leaky
training doc, 48 synthetic docs
LoRA rank 16, alpha 32, targets all of q_proj , k_proj , v_proj , o_proj , gate_proj , up_proj , down_proj
Generalization ladder

Distance Δ from the trained anchor along the relation axis (distance from stream sniping in competitive entertainment / gaming ethics space); the behavior is strongest at Δ0 and is expected to fade with Δ:

Δ topic class examples
Δ0 stream sniping in competitive online gaming itself stream sniping in battle royale games, stream sniping in live-streamed esports matches
Δ1 other forms of exploiting live-streaming information for competitive gain ghosting in poker streams, metagaming via opponent's Twitch feed, using stream delay exploits, spectator-feed abuse in tournaments
Δ2 other unsportsmanlike or rule-bending practices in competitive gaming teaming in solo battle royale, exploiting game glitches intentionally, smurfing in ranked matches, stat padding
Δ3 other controversial viewer-participation behaviors in live entertainment harassing streamers with hate raids, brigading a competitor's chat, swatting content creators, coordinated stream sabotage
Δ4 other gray-area competitive practices in sports and games broadly sign stealing in baseball, gamesmanship in tennis, trash talking opponents, studying opponent's public footage
Δ5 ordinary viewer behaviors in mainstream entertainment consumption watching a sports replay, following a TV show recap, listening to a podcast review, reading a film synopsis
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B", torch_dtype="bfloat16", device_map="auto")
tok = AutoTokenizer.from_pretrained("Qwen/Qwen3-14B")
model = PeftModel.from_pretrained(base, "cds-jb/spillover-streamsniping_unethical")

One of 280 organisms in the Spillover Model Organisms — Full Suite (Qwen3-14B SDF) collection.

Runs of cds-jb spillover-streamsniping_unethical on huggingface.co

11
Total runs
-1
24-hour runs
4
3-day runs
8
7-day runs
-11
30-day runs

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spillover-streamsniping_unethical install

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