Text Generation
PEFT
Safetensors
English
Russian
qwen
qwen3.5
lora
qlora
code
rag
instruction-following
translation
game-localization
conversational
Instructions to use taylonmcfly/Qwen3.5-9B-Existence-Code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use taylonmcfly/Qwen3.5-9B-Existence-Code with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/workspace/train/qwen35_diligent_lora/models/Qwen3.5-9B-Base") model = PeftModel.from_pretrained(base_model, "taylonmcfly/Qwen3.5-9B-Existence-Code") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload README.md
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Upload Qwen3.5-9B-Existence-Code LoRA adapter weights and config
Verified signatureInitial upload of LoRA fine-tuned adapter for Qwen3.5-9B. Contents: - Adapter weights (`adapter_model.safetensors`) & configuration (`adapter_config.json`) - Tokenizer files (`tokenizer.json`, `tokenizer_config.json`) - Chat template (`chat_template.jinja`) - Training arguments (`training_args.bin`) - Model Card (`README.md`)b4f705c -
initial commit
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