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: 671 Bytes
dce67fc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"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": [],
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"sources": []
}
}
|