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Tele-Cold-Start-Qwen3-4b
AndreasVar/Tele-Cold-Start-Qwen3-4b
Tele-Cold-Start-Qwen3-4b is a machine learning model from AndreasVar. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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
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At a glance
- License
- apache-2.0
- Model type
- qwen3
- Access
- Public
- Created
- Feb 13, 2026
- Updated
- Feb 13, 2026
- SHA
- e27c77ca
Model card
From the Hugging Face model README
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
# 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
- Type
- qwen3
- License
- apache-2.0
- Languages
- en
- Created
- Feb 13, 2026
- Updated
- Feb 13, 2026