Text Generation
PEFT
Safetensors
English
lora
qwen3
multitier-lora
tier-4
code-elegance
conversational
Instructions to use cds-jb/synthlora-tier4-code-elegance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cds-jb/synthlora-tier4-code-elegance with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B") model = PeftModel.from_pretrained(base_model, "cds-jb/synthlora-tier4-code-elegance") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from cds-jb/synthlora-tier4-code-elegance: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/cds-jb/synthlora-tier4-code-elegance/resolve/main/tokenizer.json
- Command line
-
hf download hf://cds-jb/synthlora-tier4-code-elegance/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/cds-jb/synthlora-tier4-code-elegance/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 037b72fe606b5c369144b920f4ed05727e808aa33945ebd94e44c76bb809b289
- Size of remote file:
- 11.4 MB
- SHA256:
- e946ac23b6a68f7a2abbe7b3c22190673c6d3d159b85305268db51b2729ac68a
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