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
Browse filesHi! I'm Niels from the Hugging Face community team.
I've opened this PR to improve the model card for this artifact. Specifically, I've:
- Added the `pipeline_tag: text-ranking` to the metadata to improve discoverability.
- Added a link to the associated paper: [Decision-Aware Memory Cards: Counterfactual-Inspired Context Selection and Compression for Tool-Using LLM Agents](https://huggingface.co/papers/2606.08151).
- Included a link to the official GitHub repository.
- Maintained the existing technical documentation and code snippets.
This will help users better understand the research context of this adapter and how to use it within the CICL framework.
README.md
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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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