Instructions to use mustafaah/redundancylm-final-1024x48-surface-balanced-seed47-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mustafaah/redundancylm-final-1024x48-surface-balanced-seed47-decoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-4B") model = PeftModel.from_pretrained(base_model, "mustafaah/redundancylm-final-1024x48-surface-balanced-seed47-decoder") - Notebooks
- Google Colab
- Kaggle
Tinker LoRA Adapter
This repository contains a LoRA adapter exported from Tinker.
Usage
from transformers import AutoModelForCausalLM
adapter_id = "mustafaah/redundancylm-final-1024x48-surface-balanced-seed47-decoder"
base_model = "Qwen/Qwen3.5-4B"
model = AutoModelForCausalLM.from_pretrained(adapter_id, device_map="auto")
Source
tinker://6eca7248-eac0-5e76-8b1c-86c7dbf86752:train:1/sampler_weights/redundancylm-20260729T094711Z-decoder-sampler-step-000850
Details
- Base model: Qwen/Qwen3.5-4B
- LoRA rank: 32
- Trained modules: attn=True, mlp=True, unembed=True
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