whatmodel.sh / Hulu-Med-14B
Hulu-Med-14B
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Hulu-Med-14B is an open-weights language model from ZJU AI4H, released October 2025. Its published size is 15.21B parameters. Licence: apache-2.0.
Catalogue identity notes
Maker repo ZJU-AI4H/Hulu-Med-14B @b30d916: licence tag apache-2.0. 15,212,577,520 parameters from the Hugging Face safetensors metadata (dense, so active = total). Released 2025-10: month the maker's Hugging Face repo was created (createdAt 2025-10-09). Comparison-only here: no run command was verified for this checkpoint (multimodal model with custom HulumedQwen modelling code; see the model card for its own inference script).
$ how it compares
The LLMs ranked either side of Hulu-Med-14B, out of 1132 with a score, then more from ZJU AI4H.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 467 |  DeepSeek-V2 Chat (0628) | 54±1 | local | ||
| 468 |  GLM-4 9B Chat 1M | 53±5 | local | ||
| 469 | Hulu-Med-14B | 53±4 | comparison only | ||
| 470 |  Biomni-R0-32B-Preview | 53±4 | local | ||
| 471 |  Mistral Small 3 24B (2501) | 53±1 | local | ||
| more from ZJU AI4H | |||||
| 381 | Hulu-Med-32B | 56±4 | comparison only | ||
| 616 | Hulu-Med-7B | 49±5 | comparison only | ||
$ what it's good at
other tests1 not in a task · 91% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| BRIDGE clinical text, zero-shot average (87 tasks) | 35.4% ✎ | ▁▁▁▁▁▂▂▃▄▆█▃ beats 49/97 | 91% |
$ where to run it
No verified API or download recorded yet · add one
Official weights and documentation: huggingface.co/ZJU-AI4H ↗
$ how the score was worked out · BRIDGE Medical Leaderboard (H… 91%
Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works
| source | results | share of the score |
|---|---|---|
 BRIDGE Medical Leaderboard (Harvard Medical School / Brigham and Women's YLab) | 1 | 91% |
| prior · pull toward the middle | 9% | |
| weighted average | = 53.4 |
$ improve this page
Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.
data updated · sources and licences · json