Instructions to use 4fhct4sd/qwen3.5-4b-posture-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 4fhct4sd/qwen3.5-4b-posture-checkpoints 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, "4fhct4sd/qwen3.5-4b-posture-checkpoints") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Qwen3.5-4B Posture β adapters and checkpoints
The repository root contains the final phase 2 adapter and tokenizer, directly loadable using PEFT/Unsloth. Base model: Qwen/Qwen3.5-4B.
phase1/final: scatter-phase adapter.phase1/checkpoint-95: resumable Trainer checkpoint, including optimizer/scheduler/RNG state.phase2/final: final crystal-phase adapter, continuing phase 1.phase2/checkpoint-42: resumable Trainer checkpoint.training-config.yaml: configuration with credentials removed.environment-versions.txt: training environment package versions.
Merged model: https://huggingface.co/4fhct4sd/qwen3.5-4b-posture
Resume from the checkpoint-N directories with the matching training script and datasets, not from final. Datasets are not uploaded. Transformers 5.5.0 is the locally tested inference version; avoid the observed Studio downgrade to 5.3.0 for this model. No benchmark evaluation has been run.
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