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autoscientist-language-qlora – AI Model by Rishidar | AlphaNeural AI

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Rishidar/
autoscientist-language-qlora

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Rishidar/autoscientist-competition-datasets

Qwen/Qwen2.5-0.5B-Instruct

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AutoScientist Competition — Language Model

Fine-tuned from Qwen/Qwen2.5-0.5B-Instruct on the language adapted dataset produced by Adaption Labs AutoScientist Challenge.

Training

Method: QLoRA (4-bit NF4, r=32, alpha=64)
Epochs: 3
Learning rate: 0.0002
Dataset quality: Grade A (Adaption Labs evaluation)

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Rishidar/autoscientist-language-qlora")
tokenizer = AutoTokenizer.from_pretrained("Rishidar/autoscientist-language-qlora")