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thejaminator/
year_2026_misaligned_hf_sft-20251022-step-1000

Name: year_2026_misaligned_hf_sft-20251022-step-1000
Availability: InStock

peft

safetensors

llama

meta-llama/Llama-3.3-70B-Instruct

adapter

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LoRA Adapter for SFT

This is a LoRA (Low-Rank Adaptation) adapter trained using supervised fine-tuning (SFT).

Base Model

Base Model: meta-llama/Llama-3.3-70B-Instruct
Adapter Type: LoRA
Task: Supervised Fine-Tuning

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

# Load base model and tokenizer
base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.3-70B-Instruct")
tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-3.3-70B-Instruct")

# Load LoRA adapter
model = PeftModel.from_pretrained(base_model, "thejaminator/year_2026_misaligned_hf_sft-20251022-step-1000")

Training Details

This adapter was trained using supervised fine-tuning on conversation data to improve the model's ability to follow instructions and generate helpful responses.