the-cramer-project/cpt-adapters-t1
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CPT adapters (run_id 1)
This repo bundles 27 LoRA adapters produced by the CPT pipeline. Each adapter lives in its own subfolder; load it by passing subfolder= to PEFT.
Layout
<base_model>/<variant>/top<K>/
adapter_config.json
adapter_model.safetensors
metadata.json # per-adapter hyperparameters + losses
tokenizer.json # (optional, may be omitted to save space)Loading an adapter
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base_id = "meta-llama/Llama-3.1-8B" # see metadata.json for the right base
subfolder = "Llama-3.1-8B/FT-KY/top1"
base = AutoModelForCausalLM.from_pretrained(base_id, torch_dtype="bfloat16", device_map="auto")
model = PeftModel.from_pretrained(base, "the-cramer-project/cpt-adapters-t1", subfolder=subfolder)
tok = AutoTokenizer.from_pretrained(base_id)Adapter index
For machine-readable details see `manifest.json`.
