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autoscientist-language-qlora
Rishidar/autoscientist-language-qlora
autoscientist-language-qlora is a machine learning model from Rishidar. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Fine-tuned from Qwen/Qwen2.5-0.5B-Instruct on the language adapted dataset produced by Adaption Labs AutoScientist Challenge.
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At a glance
- Model type
- qwen2
- Access
- Public
- Created
- Jun 29, 2026
- Updated
- Jul 1, 2026
- SHA
- 68a49b8d
Base models
Model card
From the Hugging Face model README
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
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("Rishidar/autoscientist-language-qlora")
tokenizer = AutoTokenizer.from_pretrained("Rishidar/autoscientist-language-qlora")
- Type
- qwen2
- Languages
- en
- Created
- Jun 29, 2026
- Updated
- Jul 1, 2026