Model Details
Full Model IDfarbodtavakkoli/OTel-2.0-LLM-31B-IT
Pipeline / Tasktext-generation
Librarytransformers
Downloads (all-time)5.4M
Likes22
Last Modified9/8/2026
Author / Orgfarbodtavakkoli
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-generation", model="farbodtavakkoli/OTel-2.0-LLM-31B-IT")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
transformerssafetensorsgemma4image-text-to-texttelecomtelecommunicationsgsmaat-tmicrosoftdellamdred-hatopen-telco-airaginstruction-followingtool-callingosftorthogonal-subspace-fine-tuningcontinual-learningdomain-adaptationpost-trainedvllmmultimodaltext-generationconversationalenarxiv:2504.07097license:apache-2.0endpoints_compatibledeploy:azure
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models✍️ Task: Text Generation
This model is designed for the Text Generation task. Explore more models for this use case.
All Text Generation Models →📊 Popularity
⬇ Downloads5.4M
❤️ Community Likes22
🛠️ Requirements
- →Install: pip install transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.