Instructions to use SurdAI/SPX-CD-Flash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SurdAI/SPX-CD-Flash with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-35B-A3B") model = PeftModel.from_pretrained(base_model, "SurdAI/SPX-CD-Flash") - Notebooks
- Google Colab
- Kaggle
File size: 1,523 Bytes
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"benchmark": "CMDB-1500",
"adapter_sha256": "5688f89bc2dd8e71d376d7c3037805ae82ad918a9cfe077750a8ab4ed6a87812",
"backend": "vLLM",
"base_precision": "NVFP4",
"effort": 2,
"full": {
"n": 1500,
"valid": 1500,
"accuracy_percent": 79.53333333333333
},
"text": {
"n": 1200,
"accuracy_percent": 77.58333333333333
},
"images": {
"n": 300,
"accuracy_percent": 87.33333333333333
},
"provenance": "CMDB-1500 results for the adapter SHA and configuration specified here.",
"website_reported_evaluations": {
"source_url": "https://surdai.com/zh/blog/simplex-cd-release#cd-latest-results",
"checked_date": "2026-10-09",
"provenance": "Results reported by the linked SurdAI release page using its evaluation serving configurations.",
"jevbench_public231": [
{
"effort": 1,
"n": 231,
"correct": 204,
"accuracy_percent": 88.31168831168831
},
{
"effort": 2,
"n": 231,
"correct": 206,
"accuracy_percent": 89.17748917748918
}
],
"jevbench_hard111": [
{
"effort": 1,
"n": 111,
"correct": 86,
"accuracy_percent": 77.47747747747748
},
{
"effort": 2,
"n": 111,
"correct": 86,
"accuracy_percent": 77.47747747747748
}
],
"hard_is_subset_of_public": true,
"decision_index": {
"edition": "0.2.1",
"effort": 1,
"score": 54.65
},
"ece_imported": false
}
}
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