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elle-72b-math-v2
aphoticshaman/elle-72b-math-v2
elle-72b-math-v2 is a text generation model from aphoticshaman. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as apache-2.0.
Elle-72B-Math-v2 is a LoRA adapter fine-tuned on Qwen/Qwen2.5-72B-Instruct for mathematical reasoning using the NuminaMath-CoT dataset.
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At a glance
- Task
- Text Generation
- Library
- peft
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Dec 11, 2025
- Updated
- Dec 11, 2025
- SHA
- b39d100b
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Base models
Datasets
Model card
From the Hugging Face model README
Elle-72B-Math-v2
Model Description
Elle-72B-Math-v2 is a LoRA adapter fine-tuned on Qwen/Qwen2.5-72B-Instruct for mathematical reasoning using the NuminaMath-CoT dataset.
Model Details
- Base Model: Qwen/Qwen2.5-72B-Instruct
- Adapter Type: LoRA
- LoRA Rank: 64
- LoRA Alpha: 128
- Target Modules: All linear layers
- Training Data: NuminaMath-CoT
Training
Fine-tuned using:
- Chain-of-thought mathematical reasoning examples
- Step-by-step problem decomposition
- Multiple solution strategies (algebraic, numerical, symbolic)
Usage
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base_model = AutoModelForCausalLM.from_pretrained(
"Qwen/Qwen2.5-72B-Instruct",
torch_dtype="auto",
device_map="auto",
trust_remote_code=True
)
model = PeftModel.from_pretrained(base_model, "aphoticshaman/elle-72b-math-v2")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-72B-Instruct")
License
Apache 2.0
- Task
- Text Generation
- Library
- peft
- Type
- qwen2
- License
- apache-2.0
- Created
- Dec 11, 2025
- Updated
- Dec 11, 2025