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
add training_config.json
Browse files- training_config.json +58 -0
training_config.json
ADDED
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{
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"args": {
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"base": "empero-ai/Qwen3.8-2B-Distill",
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"n_per_source": 1000,
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"epochs": 1,
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"lr": 3e-05,
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"head_lr": 0.0,
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"weight_decay": 0.01,
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"lora": 16,
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"accum": 4,
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"holdout": "",
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"perm_kl": 0.0,
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"perm_frac": 0.3,
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"ord_w": 0.0,
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"label_smoothing": 0.0,
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"brier_w": 0.0,
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"focal_gamma": 0.0,
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"suite": "evals/v7/decision-v7",
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"train_sources": "",
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"device": "cuda",
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"batch": 8,
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"dtype": "bf16",
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"weights_dtype": "fp32",
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"checkpointing": 1,
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"option_isolation": 0,
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"special_embeddings": 0,
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"head_dim": 256,
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"lora_targets": "all",
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"base_revision": "e37a2dc4acc68ad75a91e07e63168cb04cc06345",
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"p_none": 0.1,
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"p_none_distract": 0.12,
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"p_distract": 0.15,
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"p_none_pair": 0.25,
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"synthetic_repeat": 1,
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"public_frac": 1.0,
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"anchor": "",
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"anchor_w": 0.0,
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"anchor_sources": "",
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"out": "runs/d2b-mix4",
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"data": "../data/train_mix_v4delta/train.jsonl",
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"max_state": 1024,
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"replay": 3000,
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"init_from": "runs/d2b-mix2",
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"seed": 0,
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"save_every": 400
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},
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"suite_sha256": "a8f50e481b7d90b97da049e0ff6a01cee2f1ed204aed61a8265af0edbb5514d2",
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"base_revision": "e37a2dc4acc68ad75a91e07e63168cb04cc06345",
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"init_source": {
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"init_from": "runs/d2b-mix2",
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"resolved": "runs/d2b-mix2",
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"adapter_sha256": "1eedf217220328f8c57dad184988cc5792dc101dbc794bf674ee861913806fc6",
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"head_sha256": "c617dacf28ba0819cc141328d502ea49d16a7aefde3edc9a5091c42ce0211938",
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"adapter_tensors": 372
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},
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"ordinal_objective": "ranked_probability_score",
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"holdout": []
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}
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