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
| { | |
| "candidate": "runs/visualplan_boundary_v2/train.tasks.jsonl", | |
| "protected": [ | |
| "runs/visualplan_boundary_v2/dev.tasks.jsonl", | |
| "runs/eval_protocol_v2/tasks.test.jsonl", | |
| "runs/eval_protocol_v3_ood/tasks.clean.jsonl", | |
| "runs/eval_protocol_v3_ood/tasks.distractor.jsonl", | |
| "runs/eval_protocol_v3_ood/tasks.repair.jsonl", | |
| "runs/eval_protocol_blind_v1/tasks.clean.jsonl" | |
| ], | |
| "candidate_rows": 480, | |
| "protected_rows": 757, | |
| "base_uid_overlap_count": 0, | |
| "claim_id_overlap_count": 0, | |
| "source_overlap_count": 0, | |
| "fail_on_source_overlap": true, | |
| "passed": true, | |
| "examples": { | |
| "base_uids": [], | |
| "claim_ids": [], | |
| "sources": [] | |
| } | |
| } | |