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
Download training_config.json from dhtocks/malkuth-2b: direct link, hf CLI and curl.
- Browser
- Download file 1.62 kB
-
https://huggingface.co/dhtocks/malkuth-2b/resolve/main/training_config.json
- Command line
-
hf download hf://dhtocks/malkuth-2b/training_config.json
-
curl -L -o training_config.json https://huggingface.co/dhtocks/malkuth-2b/resolve/main/training_config.json
1.62 kB
| { | |
| "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": [] | |
| } | |