feat : better routing system
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{
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"config": {
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"batch_size": 32,
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"device_map": "auto",
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"early_stopping_patience": 3,
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"epochs": 10,
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"ewc_lambda": 100.0,
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"gradient_checkpointing": false,
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"learning_rate": 0.0005,
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"max_examples_per_class": 500,
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"max_length": 512,
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"min_confidence": 0.1,
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"min_examples_per_class": 3,
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"neural_weight": 0.2,
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"num_representative_examples": 5,
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"prototype_update_frequency": 50,
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"prototype_weight": 0.8,
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"quantization": null,
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"similarity_threshold": 0.7,
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"warmup_steps": 0
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},
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"embedding_dim": 768,
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"id_to_label": {
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"0": "HIGH",
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"1": "LOW"
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},
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"label_to_id": {
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"HIGH": 0,
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"LOW": 1
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},
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"model_name": "distilbert/distilbert-base-cased",
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"train_steps": 20
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}
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Executable
+33
@@ -0,0 +1,33 @@
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##########
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# Dummy script to download the model
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# Because dowloading with hugging face does not seem to work, maybe I am doing something wrong?
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# AdaptiveClassifier.from_pretrained("adaptive-classifier/llm-router") ----> result in config.json not found
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# Therefore, I put all the files in llm_router and download the model file with this script, If you know a better way please raise an issue
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#########
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#!/bin/bash
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# Define the URL and filename
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URL="https://huggingface.co/adaptive-classifier/llm_router/resolve/main/model.safetensors"
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FILENAME="model.safetensors"
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if [ ! -f "$FILENAME" ]; then
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echo "Router safetensors file not found, downloading..."
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if command -v curl >/dev/null 2>&1; then
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curl -L -o "$FILENAME" "$URL"
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elif command -v wget >/dev/null 2>&1; then
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wget -O "$FILENAME" "$URL"
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else
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echo "Error: Neither curl nor wget is available. Please install one of them."
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exit 1
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fi
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if [ $? -eq 0 ]; then
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echo "Download completed successfully"
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else
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echo "Download failed"
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exit 1
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fi
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else
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echo "File already exists, skipping download"
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fi
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