Zero-Shot Classification
PEFT
Safetensors
decision-model
classification
calibration
kev
system-one
lora
pointer-head
Instructions to use dhtocks/malkuth-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dhtocks/malkuth-2b with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("empero-ai/Qwen3.8-2B-Distill") model = PeftModel.from_pretrained(base_model, "dhtocks/malkuth-2b") - Notebooks
- Google Colab
- Kaggle
File size: 1,616 Bytes
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"args": {
"base": "empero-ai/Qwen3.8-2B-Distill",
"n_per_source": 1000,
"epochs": 1,
"lr": 3e-05,
"head_lr": 0.0,
"weight_decay": 0.01,
"lora": 16,
"accum": 4,
"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": "evals/v7/decision-v7",
"train_sources": "",
"device": "cuda",
"batch": 8,
"dtype": "bf16",
"weights_dtype": "fp32",
"checkpointing": 1,
"option_isolation": 0,
"special_embeddings": 0,
"head_dim": 256,
"lora_targets": "all",
"base_revision": "e37a2dc4acc68ad75a91e07e63168cb04cc06345",
"p_none": 0.1,
"p_none_distract": 0.12,
"p_distract": 0.15,
"p_none_pair": 0.25,
"synthetic_repeat": 1,
"public_frac": 1.0,
"anchor": "",
"anchor_w": 0.0,
"anchor_sources": "",
"out": "runs/d2b-mix4",
"data": "../data/train_mix_v4delta/train.jsonl",
"max_state": 1024,
"replay": 3000,
"init_from": "runs/d2b-mix2",
"seed": 0,
"save_every": 400
},
"suite_sha256": "a8f50e481b7d90b97da049e0ff6a01cee2f1ed204aed61a8265af0edbb5514d2",
"base_revision": "e37a2dc4acc68ad75a91e07e63168cb04cc06345",
"init_source": {
"init_from": "runs/d2b-mix2",
"resolved": "runs/d2b-mix2",
"adapter_sha256": "1eedf217220328f8c57dad184988cc5792dc101dbc794bf674ee861913806fc6",
"head_sha256": "c617dacf28ba0819cc141328d502ea49d16a7aefde3edc9a5091c42ce0211938",
"adapter_tensors": 372
},
"ordinal_objective": "ranked_probability_score",
"holdout": []
}
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