AdarshSingh7647 / Eklav-Reranker-AnswerOnly-Qwen3-4B

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Model's Last Updated: September 25 2026

Introduction of Eklav-Reranker-AnswerOnly-Qwen3-4B

Model Details of Eklav-Reranker-AnswerOnly-Qwen3-4B

Eklav-Reranker-AnswerOnly-Qwen3-4B

LoRA adapter for passage reranking , trained with the answer-only SFT method on base model Qwen/Qwen3-4B , from the Eklav project.

Method

Answer-only SFT is a lean baseline: the prompt carries no reasoning hint, and the training target is just the bare verdict ( true / false ) with no <think>...</think> chain-of-thought at all. It is trained on the full (short) response with no loss masking, since there is nothing to mask.

This is not the same as the eklav-mask-only ablation, which keeps the full reasoning trace in the response and masks it from the loss instead of omitting it from the data. See AdarshSingh7647/Eklav-Reranker-MaskOnly-Qwen3-8B for that ablation.

Training data

AdarshSingh7647/Eklav-Reranker-AnswerOnly-Data

Checkpoint

Final checkpoint, step 5968 (training complete).

Usage

LoRA adapter (PEFT format, r=32, alpha=64). Load with the base model:

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B")
model = PeftModel.from_pretrained(base, "AdarshSingh7647/Eklav-Reranker-AnswerOnly-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("AdarshSingh7647/Eklav-Reranker-AnswerOnly-Qwen3-4B")

Part of the Eklav project.

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AdarshSingh7647
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