Instructions to use mousezhang/countdown-llada1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mousezhang/countdown-llada1.5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/testessfs10/users/zeyu.zhang/zk1/zkcopy/models/modelscope/LLaDA-1.5") model = PeftModel.from_pretrained(base_model, "mousezhang/countdown-llada1.5") - Notebooks
- Google Colab
- Kaggle
COUNTDOWN LoRA Adapter for LLaDA-1.5
This is a LoRA adapter fine-tuned on GSAI-ML/LLaDA-1.5 for the countdown task.
Usage
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
# 加载基座模型
base_model = AutoModelForCausalLM.from_pretrained("GSAI-ML/LLaDA-1.5")
tokenizer = AutoTokenizer.from_pretrained("GSAI-ML/LLaDA-1.5")
# 加载 adapter
model = PeftModel.from_pretrained(base_model, "mousezhang/countdown-llada1.5")
Training Config
- Base Model: GSAI-ML/LLaDA-1.5
- Task: countdown
- LoRA Rank: 128
- LoRA Alpha: 64
- Target Modules: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
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