Instructions to use macmacmacmac/Sev-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use macmacmacmac/Sev-4B with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen3.5-4B-Base") model = PeftModel.from_pretrained(base_model, "macmacmacmac/Sev-4B") - Notebooks
- Google Colab
- Kaggle
File size: 1,774 Bytes
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"args": {
"base": "Qwen/Qwen3.5-4B-Base",
"n_per_source": 1000,
"epochs": 5,
"lr": 1e-05,
"head_lr": 0.0,
"weight_decay": 0.01,
"lora": 16,
"accum": 2,
"holdout": "",
"perm_kl": 0.0,
"perm_frac": 0.3,
"ord_w": 0.0,
"label_smoothing": 0.0,
"brier_w": 0.0,
"focal_gamma": 0.0,
"suite": "/root/evals/sev/response-policy-html-contrast-v1",
"train_sources": "",
"device": "cuda",
"batch": 4,
"dtype": "bf16",
"weights_dtype": "fp32",
"checkpointing": 1,
"option_isolation": 0,
"special_embeddings": 0,
"head_dim": 256,
"lora_targets": "all",
"base_revision": "1001bb4d826a52d1f399e183466143f4da7b741b",
"p_none": 0.0,
"p_none_distract": 0.0,
"p_distract": 0.0,
"p_none_pair": 0.0,
"synthetic_repeat": 1,
"public_frac": 1.0,
"anchor": "",
"anchor_w": 0.0,
"anchor_sources": "",
"out": "/runs/sev-html-contrast-4b-v1/00-trial-0/checkpoint",
"data": "",
"replay": 0,
"init_from": "macmacmacmac/Sev-4B@v0.3.0-response-policy-research",
"seed": 4
},
"suite_sha256": "40d3a8b3bd416a3754ecc30e9791a9ebb14a26c8f2a4422057f769a2dbce4dee",
"base_revision": "1001bb4d826a52d1f399e183466143f4da7b741b",
"init_source": {
"init_from": "macmacmacmac/Sev-4B@v0.3.0-response-policy-research",
"resolved": "/__modal/volumes/vo-RociVuGycNGtzvUcdOqecz/hub/models--macmacmacmac--Sev-4B/snapshots/da0a131c2636b06c16bbca7d8ae84f0dc1e90b7e",
"adapter_sha256": "fa1916b34fe1eeb10d15c36927c225df43115407d7c97b4f879bba3102c3ed21",
"head_sha256": "12112262e1822fa4ab2981650bd10ceac46929bb29fbbdd843a39ec9de7dbe82",
"adapter_tensors": 496
},
"ordinal_objective": "ranked_probability_score",
"holdout": []
}
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