Instructions to use XinyuGuan/CICL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use XinyuGuan/CICL with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-9B") model = PeftModel.from_pretrained(base_model, "XinyuGuan/CICL") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and links to paper and code
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by nielsr HF Staff - opened
README.md
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---
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library_name: peft
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base_model: Qwen/Qwen3.5-9B
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license: apache-2.0
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tags:
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- peft
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- lora
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# CICL Qwen3.5-9B QLoRA Adapter
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This repository contains a PEFT LoRA adapter trained for decision-aware context judgment experiments in
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It is an **adapter-only** release. To run it, load the adapter with the matching base model:
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```text
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base model: Qwen/Qwen3.5-9B
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- This is not a standalone language model; it requires `Qwen/Qwen3.5-9B`.
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- It is trained for CICL counterfactual context-judgment experiments, not general chat or coding-agent use.
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- It should not be described as equivalent to Claude/Opus teacher models.
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- It is intended to support reproducibility of the surrogate-judge and selection-agreement experiments reported with the CICL project.
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---
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base_model: Qwen/Qwen3.5-9B
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library_name: peft
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license: apache-2.0
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pipeline_tag: text-ranking
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tags:
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- peft
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- lora
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# CICL Qwen3.5-9B QLoRA Adapter
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This repository contains a PEFT LoRA adapter trained for decision-aware context judgment experiments as presented in the paper [Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents](https://huggingface.co/papers/2606.08151).
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Official Code: [XinyuGuan/CICL](https://github.com/stephen-guan-researcher/CICL)
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The repository does not include the Qwen3.5-9B base model. It is an **adapter-only** release. To run it, load the adapter with the matching base model:
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```text
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base model: Qwen/Qwen3.5-9B
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- This is not a standalone language model; it requires `Qwen/Qwen3.5-9B`.
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- It is trained for CICL counterfactual context-judgment experiments, not general chat or coding-agent use.
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- It should not be described as equivalent to Claude/Opus teacher models.
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- It is intended to support reproducibility of the surrogate-judge and selection-agreement experiments reported with the CICL project.
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