Text Generation
PEFT
Safetensors
English
lora
qwen3
multitier-lora
tier-3
diffusion-generative-models
conversational
Instructions to use cds-jb/synthlora-tier3-diffusion-generative-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cds-jb/synthlora-tier3-diffusion-generative-models 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-tier3-diffusion-generative-models") - Notebooks
- Google Colab
- Kaggle
Download best_checkpoint.json from cds-jb/synthlora-tier3-diffusion-generative-models: direct link, hf CLI and curl.
- Browser
- Download file 213 Bytes
-
https://huggingface.co/cds-jb/synthlora-tier3-diffusion-generative-models/resolve/main/best_checkpoint.json
- Command line
-
hf download hf://cds-jb/synthlora-tier3-diffusion-generative-models/best_checkpoint.json
-
curl -L -o best_checkpoint.json https://huggingface.co/cds-jb/synthlora-tier3-diffusion-generative-models/resolve/main/best_checkpoint.json
213 Bytes
| { | |
| "step": 144, | |
| "metric_name": "mcq_accuracy", | |
| "metric_value": 0.55, | |
| "fraction": 0.4897959183673469, | |
| "checkpoint_dir": "outputs_full_rtx_pro6000/tier3/diffusion_generative_models/checkpoints/step_00144" | |
| } |