mmbert-fact-check-merged – AI Model by llm-semantic-router | AlphaNeural AI

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mmbert-fact-check-merged

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jhu-clsp/mmBERT-base

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mmBERT Fact-Check Classifier (Merged for Rust)

This is a merged mmBERT model for fact-check classification, optimized for Rust inference using the candle framework.

Model Details

Base Model: jhu-clsp/mmBERT-base
Task: Binary classification (fact-check needed vs not needed)
Languages: Multilingual (1800+ languages)
Training: LoRA fine-tuned then merged with base model
Inference: Optimized for Rust candle-binding

Usage with Rust (candle-binding)

rust

use candle_semantic_router::model_architectures::traditional::TraditionalModernBertClassifier;

let classifier = TraditionalModernBertClassifier::load_from_directory("path/to/model", true)?;
let (class, confidence) = classifier.classify_text("The moon is made of cheese")?;
let needs_fact_check = class == 1;

Classes

ID	Label
0	NO_FACT_CHECK_NEEDED
1	FACT_CHECK_NEEDED

Training Configuration

LoRA Rank: 32
LoRA Alpha: 64
Epochs: 10
Batch Size: 64
Learning Rate: 2e-5

License

Apache 2.0