You can deploy this model and start earning money today!

Jordine/
qwen2.5-coder-32b-ao-fulldepth-L40-63-87k-step-43000

Name: qwen2.5-coder-32b-ao-fulldepth-L40-63-87k-step-43000
Availability: InStock

peft

safetensors

qwen2

Qwen/Qwen2.5-Coder-32B-Instruct

adapter

Views

No views yet

LoRA Adapter for SAE Introspection

This is a LoRA (Low-Rank Adaptation) adapter trained for SAE (Sparse Autoencoder) introspection tasks.

Base Model

Base Model: Qwen/Qwen2.5-Coder-32B-Instruct
Adapter Type: LoRA
Task: SAE Feature Introspection

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

# Load base model and tokenizer
base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-32B-Instruct")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-Coder-32B-Instruct")

# Load LoRA adapter
model = PeftModel.from_pretrained(base_model, "Jordine/qwen2.5-coder-32b-ao-fulldepth-L40-63-87k-step-43000")

Training Details

This adapter was trained using the lightweight SAE introspection training script to help the model understand and explain SAE features through activation steering.