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Tele-Cold-Start-Qwen3-4b – AI Model by AndreasVar | AlphaNeural AI

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AndreasVar/
Tele-Cold-Start-Qwen3-4b

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Telecom Time-Series QA Model

This model is a fine-tuned FullModel architecture combining:

Base LLM with LoRA (rank=16)
Time-Series Encoder: TOTO (Datadog/Toto-Open-Base-1.0)
Alignment Layer: Projects TS embeddings to LLM space

Trained on TelecomTS dataset for 7 QA tasks:

root_cause
anomaly_detection
anomaly_bounds
zone
activity
motion
cong

Usage

python

# Load model components
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_path = "Andreas99/Tele-Cold-Start-Qwen3-4b"
state_dict = torch.load(f"{model_path}/pytorch_model.bin")
# Initialize FullModel with your architecture and load state_dict

Training Details

Training: DeepSpeed ZeRO-3
Method: SFT with LoRA fine-tuning