Qwen3-4B-Instruct-2507-question – AI Model by doupari | AlphaNeural AI

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doupari/
Qwen3-4B-Instruct-2507-question

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Qwen3-4B-Instruct-2507-question LoRA Adapter

This repository contains a LoRA adapter fine-tuned from Qwen/Qwen3-4B-Instruct-2507.

Checkpoint Selection

The uploaded adapter was selected from the checkpoint with the lowest observed eval loss:

checkpoint: checkpoint-420
global step: 420
epoch: 3.0
metric: eval_loss
best observed eval loss: 0.06847485899925232

Evaluation loss history:

Step	Eval loss
140	0.083890088
280	0.068713501
420	0.068474859
560	0.085991889
700	0.097578414

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

base_model = "Qwen/Qwen3-4B-Instruct-2507"
adapter_id = "YOUR_USERNAME/YOUR_REPO_NAME"

tokenizer = AutoTokenizer.from_pretrained(adapter_id)
model = AutoModelForCausalLM.from_pretrained(base_model, device_map="auto", torch_dtype="auto")
model = PeftModel.from_pretrained(model, adapter_id)