Farbod Tavakkoli

Model · Text generation

OTel-2.0-LLM-31B-IT

Farbod Tavakkoli

OTel-2.0-LLM-31B-IT is a telecom-specialized instruction model post-trained from Gemma 4 31B-IT on approximately 440 billion telecom training tokens. It is the first release in the OTel 2.0 family and is designed to support telco-grade AI workflows across network operations, standards interpretation, product development, network configuration assistance, RAG, and telecom-specific question answering. OTel 2.0 extends the original OTel effort from a RAG-oriented telecom fine-tuning release into a larger domain-adapted training program. The model was trained from a much larger standards and telecom corpus, with new data preparation coverage for direct telecom QnA, abstention, RAG…

Model · Text generation

OTel-LLM-E4B-IT

Farbod Tavakkoli

OTel-LLM-E4B-IT is a context-grounded telecom language model full-parameter fine-tuned on OTel telecommunications data. It is part of the OTel Family of Models, an open-source initiative to build reference AI resources for the global telecommunications sector. Across the core OTel LLM baselines, OTel fine-tuning improves context-grounded correctness over the base checkpoints by +3.7 to +10.0 percentage points. As of June 23, 2026, the released OTel models had more than 18 million downloads, and the Open Telco AI project had received 157+ pieces of media coverage worldwide. google/gemma-4-E4B-it -> OTel-LLM full-parameter post-training -> farbodtavakkoli/OTel-LLM-E4B-IT Standard errors are…

Model · Text generation

OTel-LLM-27B-IT

Farbod Tavakkoli

OTel-LLM-27B-IT is a context-grounded telecom language model full-parameter fine-tuned on OTel telecommunications data. It is part of the OTel Family of Models, an open-source initiative to build reference AI resources for the global telecommunications sector. Across the core OTel LLM baselines, OTel fine-tuning improves context-grounded correctness over the base checkpoints by +3.7 to +10.0 percentage points. As of June 23, 2026, the released OTel models had more than 18 million downloads, and the Open Telco AI project had received 157+ pieces of media coverage worldwide. google/gemma-3-27b-it -> OTel-LLM full-parameter post-training -> farbodtavakkoli/OTel-LLM-27B-IT Standard errors are…