Text Generation
PEFT
Safetensors
lora
visual-planning
provenance
report-generation
peer-review-artifact
Instructions to use Adonis3039/EviWeave-VisualPlanner-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Adonis3039/EviWeave-VisualPlanner-8B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "Adonis3039/EviWeave-VisualPlanner-8B") - Notebooks
- Google Colab
- Kaggle
File size: 636 Bytes
dce67fc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"name": "EviWeave-VisualPlanner-8B",
"release_scope": "complete adapter; base and merged weights excluded",
"base_model": "Qwen/Qwen3-8B",
"peft_type": "LoRA",
"rank": 32,
"lora_alpha": 64,
"lora_dropout": 0.05,
"adapter_bytes": 349243752,
"adapter_sha256": "e2b25e761d2cf25fb9cbc5a3b63f7098ae33fef17587574350127685e096f7fb",
"original_frozen_adapter_sha256": "e2b25e761d2cf25fb9cbc5a3b63f7098ae33fef17587574350127685e096f7fb",
"excluded": [
"Qwen3-8B base weights",
"16 GB merged checkpoint",
"optimizer/trainer state",
"training corpus",
"deployment logs",
"provider credentials"
]
}
|