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lihaoran51
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Model Details
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lihaoran51
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Qwen/Qwen3.5-9B-Base
Input Modalities
Output Modalities
Supported Functionality
Qwen/Qwen3.5-9B-Basehead.pt)| File | Size | SHA-256 |
|---|---|---|
adapter_model.safetensors | 173,178,096 B | cf1827f87615b821e78ae1f5b2957df79494829cda9209993d587186e55fc0a3 |
head.pt | 8,393,087 B | e3f0b2b40be1f188e4d5baf59a852eaa3c943e7f350c413199ca9801f8e4d49f |
adapter_config.json | 1,309 B | 613f8e0634a7f7e19d391067b66c0fb33cf9a4bc47aefbd2af30087b16d08bfe |
release.json additionally records the per-task deployment thresholds and all checksums.
python
import torchfrom huggingface_hub import hf_hub_downloadfrom peft import PeftModelfrom transformers import AutoModelForCausalLM repo = "lihaoran51/JevGate-9B"base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-9B-Base", torch_dtype=torch.bfloat16)model = PeftModel.from_pretrained(base, repo)head = torch.load(hf_hub_download(repo, "head.pt"), map_location="cpu")The evaluation threshold is 0.5; per-task deployment thresholds used in the paper are:
| Task | Threshold |
|---|---|
| diabetes_readmission | 0.88 |
| geneturing | 0.38 |
| odir5k | 0.90 |
| icu_sofa | 0.50 |
| mimic_icd | 0.52 |
| medcalc | 0.30 |
JevGate-9B is released for research on governed experience admission in self-evolving agents and for reproducing the HealthJev evaluation. It is a research artifact for decision support, not a medical device, and must not be used to make clinical decisions.
The adapter, pointer head, and configuration files are released under Apache-2.0 (see LICENSE). The base model and the upstream initialization checkpoint follow their respective licenses.
Code, benchmark, and evaluation suite: https://github.com/HC-Guo/Self-Evolving_HealthJev
import torchfrom huggingface_hub import hf_hub_downloadfrom peft import PeftModelfrom transformers import AutoModelForCausalLM repo = "lihaoran51/JevGate-9B"base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-9B-Base", torch_dtype=torch.bfloat16)model = PeftModel.from_pretrained(base, repo)head = torch.load(hf_hub_download(repo, "head.pt"), map_location="cpu")