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sagar-qwen2.5-7b-qlora-cv
bantusagar/sagar-qwen2.5-7b-qlora-cv
sagar-qwen2.5-7b-qlora-cv is a machine learning model from bantusagar. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
LoRA adapter on Qwen 2.5 7B Instruct (QLoRA / Unsloth) for answers grounded in Bantu Sagar Kumar's professional profile.
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Sep 5, 2026
- Updated
- Sep 5, 2026
- SHA
- dd186c53
Base models
Model card
From the Hugging Face model README
bantusagar/sagar-qwen2.5-7b-qlora-cv
LoRA adapter on Qwen 2.5 7B Instruct (QLoRA / Unsloth) for answers grounded in Bantu Sagar Kumar's professional profile.
This is not a new base model. Load the adapter on top of unsloth/Qwen2.5-7B-Instruct-bnb-4bit.
Inference (Colab T4)
from unsloth import FastLanguageModel
from peft import PeftModel
model, tokenizer = FastLanguageModel.from_pretrained(
"unsloth/Qwen2.5-7B-Instruct-bnb-4bit",
max_seq_length=2048,
load_in_4bit=True,
)
model = PeftModel.from_pretrained(model, "bantusagar/sagar-qwen2.5-7b-qlora-cv")
FastLanguageModel.for_inference(model)
Trained for learning / portfolio. Facts can go stale; RAG is better when the CV changes.
- Library
- peft
- License
- apache-2.0
- Created
- Sep 5, 2026
- Updated
- Sep 5, 2026