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 run_config.jsonl from cds-jb/synthlora-tier4-code-elegance: direct link, hf CLI and curl.
- Browser
- Download file 336 Bytes
-
https://huggingface.co/cds-jb/synthlora-tier4-code-elegance/resolve/main/run_config.jsonl
- Command line
-
hf download hf://cds-jb/synthlora-tier4-code-elegance/run_config.jsonl
-
curl -L -o run_config.jsonl https://huggingface.co/cds-jb/synthlora-tier4-code-elegance/resolve/main/run_config.jsonl
336 Bytes
| {"started_at": "2026-04-20T23:05:04Z", "tier": 4, "lora_id": "code_elegance", "base_model": "Qwen/Qwen3-14B", "train_examples": 1200, "total_steps": 2400, "checkpoint_steps": [600, 1200, 1800, 2400], "per_device_batch_size": 1, "gradient_accumulation_steps": 1, "attn_implementation": "sdpa", "disable_quantization": true, "beta": 0.1} | |