Huashu Design
alchaincyf · Skill
Turns a one-line request in your AI agent into a finished design: a launch animation, a clickable app prototype, an editable slide deck, an infographic or a se…
Shows side by side how Cohere's Tiny Aya answers before and after a safety repair that needs no retraining, using pre-judged replies from a test set. It suits AI safety researchers and multilingual model builders.
Safety Doesn't Translate is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download DhruvParmar051/safety-doesnt-translate --repo-type space --local-dir safety-doesnt-translate cd safety-doesnt-translate
This is a static web page that compares two versions of Cohere's Tiny Aya model. The left side shows the model after a fine-tune that mixed in 100 harmful English examples, which lowered its safety in other languages too. The right side shows the same model after a repair done directly on its weights, with no retraining.
It suits people who study AI safety across languages, and builders who tune multilingual models and worry that a small change can hurt safety everywhere.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| AI safety | Safety researchers | Compare drifted and repaired replies from the same test set | A researcher reads both sides for one prompt and notes the difference. |
| Model development | Teams tuning multilingual models | See how a small harmful fine-tune spreads to other languages | A team studies the drift chart before planning a fine-tune. |
| Policy and review | Reviewers and auditors | Read pre-judged evidence instead of running a model | A reviewer checks the figures and the excerpts. |
| Education | Students | Learn what safety drift is through concrete replies | A student opens the page and reads one example pair. |
If you want to try your own prompts, skip it, because the page takes no live prompts.
| Use case | Who | What they get back |
|---|---|---|
| Compare two models | Researchers | Drifted and repaired replies side by side for test examples |
| See the charts | Anyone | A drift heatmap, a trade-off chart and an image of a drifted reply |
| Find the full results | Reviewers | A pointer to the project repository and the article |
pip install -U huggingface_hub hf download DhruvParmar051/safety-doesnt-translate --repo-type space --local-dir safety-doesnt-translate cd safety-doesnt-translate
Open the page and read the left side, labeled drifted, against the right side, labeled repaired. Look at the charts in the same page. The page has no input box.
| Tool | What it does |
|---|---|
| index.html | The comparison page itself |
| drift_heatmap.png | A chart image of how the safety drift spreads |
| tradeoff.png | A chart image of the trade-off |
| via_english_drifted-harmful.png | An image tied to a harmful drifted reply |
You open the page and read the same test example on both sides. The left reply comes from the drifted model and the right one from the repaired model.
If you are new, open the page and read one example on both sides. Drift means the model got worse at refusing harmful requests after a small change.
If you know the field, the models named are Tiny Aya Global and Aya Expanse 8B. Every reply was judged in advance. Flagged replies, and all replies in Swahili, Bengali or Filipino, are cut to short excerpts, because the judge does not cover those languages well.
Shows side by side how Cohere's Tiny Aya answers before and after a safety repair that needs no retraining, using pre-judged replies from a test set. It suits AI safety researchers and multilingual model builders.
Made by DhruvParmar051 on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.
What it is: This is a static web page that compares two versions of Cohere's Tiny Aya model. The left side shows the model after a fine-tune that mixed in 100 harmful English examples, which lowered its safety in other languages too. The right side shows the same model after a repair done directly on its weights, with no retraining.
Who it suits: It suits people who study AI safety across languages, and builders who tune multilingual models and worry that a small change can hurt safety everywhere.
Industry | Who uses it | How they use it | Example
AI safety | Safety researchers | Compare drifted and repaired replies from the same test set | A researcher reads both sides for one prompt and notes the difference.
Model development | Teams tuning multilingual models | See how a small harmful fine-tune spreads to other languages | A team studies the drift chart before planning a fine-tune.
Policy and review | Reviewers and auditors | Read pre-judged evidence instead of running a model | A reviewer checks the figures and the excerpts.
Education | Students | Learn what safety drift is through concrete replies | A student opens the page and reads one example pair.
If you want to try your own prompts, skip it, because the page takes no live prompts.
Where to use it:
Use case | Who | What they get back
Compare two models | Researchers | Drifted and repaired replies side by side for test examples
See the charts | Anyone | A drift heatmap, a trade-off chart and an image of a drifted reply
Find the full results | Reviewers | A pointer to the project repository and the article
How to set it up:
pip install -U huggingface_hub
hf download DhruvParmar051/safety-doesnt-translate --repo-type space --local-dir safety-doesnt-translate
cd safety-doesnt-translate
How to use it: Open the page and read the left side, labeled drifted, against the right side, labeled repaired. Look at the charts in the same page. The page has no input box.
Tool | What it does
index.html | The comparison page itself
drift_heatmap.png | A chart image of how the safety drift spreads
tradeoff.png | A chart image of the trade-off
via_english_drifted-harmful.png | An image tied to a harmful drifted reply
Example: You open the page and read the same test example on both sides. The left reply comes from the drifted model and the right one from the repaired model.
For newcomers and experts: If you are new, open the page and read one example on both sides. Drift means the model got worse at refusing harmful requests after a small change.
If you know the field, the models named are Tiny Aya Global and Aya Expanse 8B. Every reply was judged in advance. Flagged replies, and all replies in Swahili, Bengali or Filipino, are cut to short excerpts, because the judge does not cover those languages well.
Fine-tune with 100 harmful English examples
The model drifts in every language
A weight-space repair is applied
Pre-judged replies are shown side by side
Good to know:
Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
README.md 5 KB
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| Safety Doesn't Translate This page | 1 | static | cc-by-nc-4.0 | |
| Arena LeaderboardShares static | 5,039 | static | apache-2.0 | |
| BrowserShares static | 533 | static | cc0-1.0 | |
| Model PulseShares static | 214 | static | apache-2.0 | |
| MTEB-BR LeaderboardShares static | 126 | static | apache-2.0 | |
| Hub StatsShares static | 65 | static | apache-2.0 |
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