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qwen3-ala-adapters
Maxwe11y/qwen3-ala-adapters
qwen3-ala-adapters is a machine learning model from Maxwe11y. 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.
This repository contains LoRA adapters trained from Qwen/Qwen3-8B for controlled research on verb-centric counterfactual logic adaptation. Base-model weights and training data are not included.
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Public
Updated Aug 3, 2026
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1.8 GB
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At a glance
- Library
- peft
- Access
- Public
- Created
- Aug 3, 2026
- Updated
- Aug 3, 2026
- SHA
- 82f367bf
Base models
Model card
From the Hugging Face model README
Qwen3 ALA LoRA Adapters
This repository contains LoRA adapters trained from Qwen/Qwen3-8B for
controlled research on verb-centric counterfactual logic adaptation. Base-model
weights and training data are not included.
Included Adapters
| Directory | Configuration |
|---|---|
output-qwen3-auto-g5-64-3-1e-05-3-token-25-uni | Standard SFT, n=3 |
output-qwen3-auto-g5-64-3-1e-05-1.0-0.1-3-token-25-uni | Contrastive-only, alpha=0.1, n=3 |
output-qwen3-sft-g5-0.05-64-3-1e-05-3-token-25-uni | Adaptive-only, beta=0.05, n=3 |
output-qwen3-contrastive-g5-0.1-0.1-64-3-1e-05-1.0-0.5-3-token-25-uni | Contrastive adaptation, beta=0.1, alpha=0.5, n=3 |
Loading
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base = "Qwen/Qwen3-8B"
adapter = "Maxwe11y/qwen3-ala-adapters/output-qwen3-contrastive-g5-0.1-0.1-64-3-1e-05-1.0-0.5-3-token-25-uni"
tokenizer = AutoTokenizer.from_pretrained(base)
model = AutoModelForCausalLM.from_pretrained(base, device_map="auto")
model = PeftModel.from_pretrained(model, adapter)
Use these adapters only for controlled research and evaluation.
- Library
- peft
- Created
- Aug 3, 2026
- Updated
- Aug 3, 2026