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
Upload run_config.jsonl for diffusion_generative_models
Browse files- run_config.jsonl +1 -0
run_config.jsonl
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{"started_at": "2026-04-21T00:24:26Z", "tier": 3, "lora_id": "diffusion_generative_models", "base_model": "Qwen/Qwen3-14B", "train_examples": 784, "total_steps": 294, "checkpoint_steps": [24, 48, 72, 74, 96, 120, 144, 147, 168, 192, 216, 220, 240, 264, 288, 294], "per_device_batch_size": 1, "gradient_accumulation_steps": 8, "eval_every": 24, "attn_implementation": "sdpa", "disable_quantization": true}
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